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Ram Bilas Pachori
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2020 – today
- 2025
- [j150]Debaraj Rana
, Shreerudra Pratik
, Bunil Kumar Balabantaray
, Rangababu Peesapati
, Ram Bilas Pachori:
GCAPSeg-Net: An efficient global context-aware network for colorectal polyp segmentation. Biomed. Signal Process. Control. 100: 106978 (2025) - [j149]Shaswati Dash, Dinesh Kumar Dash, Rajesh Kumar Tripathy
, Ram Bilas Pachori
:
Time-frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities. Biomed. Signal Process. Control. 100: 107041 (2025) - [j148]Kumari Jyoti, Saurabh Yadav, Chandrabhan Patel, Mayank Dubey, Pradeep Kumar Chaudhary, Ram Bilas Pachori, Shaibal Mukherjee:
Implementation of FBSE-EWT method in memristive crossbar array framework for automated glaucoma diagnosis from fundus images. Biomed. Signal Process. Control. 100: 107087 (2025) - [j147]Swati Singh, Kurusetti Vinay Gupta, Ram Bilas Pachori, Laxmidhar Behera, Braj Bhushan:
A novel symbolic regression-based approach for decoding the impact of meditation on cognitive enhancement using multimodal EEG signal analysis. Biomed. Signal Process. Control. 106: 107684 (2025) - [j146]Aahan Tyagi, Vivek Kumar Singh, Ram Bilas Pachori
:
FBSE-EWT Technique-based Complex-valued Signal Analysis. Circuits Syst. Signal Process. 44(2): 1349-1370 (2025) - [j145]Alavala Siva Sankar Reddy, Ram Bilas Pachori
:
Dynamic mode decomposition-based technique for cross-term suppression in the Wigner-Ville distribution. Digit. Signal Process. 156: 104833 (2025) - [j144]Varun Makkar, Arya Tewary, Rajesh K. Pandey, Ram Bilas Pachori:
Collation of a Few Retinal Vessel Segmentation Techniques: Is the Problem Solved? SN Comput. Sci. 6(2) (2025) - 2024
- [j143]Nalini Pusarla
, Anurag Singh
, Shrivishal Tripathi
, Avinash Vujji
, Ram Bilas Pachori
:
Exploring CEEMDAN and LMD Domains Entropy Features for Decoding EEG-Based Emotion Patterns. IEEE Access 12: 103606-103625 (2024) - [j142]Arti Anuragi, Dilip Singh Sisodia
, Ram Bilas Pachori:
Mitigating the curse of dimensionality using feature projection techniques on electroencephalography datasets: an empirical review. Artif. Intell. Rev. 57(3): 75 (2024) - [j141]Himanshu Singh
, M. Sabarimalai Manikandan, Ram Bilas Pachori
:
Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring. Biomed. Signal Process. Control. 95: 106423 (2024) - [j140]Kodali Radha
, Mohan Bansal
, Ram Bilas Pachori:
Speech and speaker recognition using raw waveform modeling for adult and children's speech: A comprehensive review. Eng. Appl. Artif. Intell. 131: 107661 (2024) - [j139]Dipankar Das
, Deepak Ranjan Nayak, Ram Bilas Pachori:
AES-Net: An adapter and enhanced self-attention guided network for multi-stage glaucoma classification using fundus images. Image Vis. Comput. 146: 105042 (2024) - [j138]Anurag Nishad, Ram Bilas Pachori
:
Classification of epileptic electroencephalogram signals using tunable-Q wavelet transform based filter-bank. J. Ambient Intell. Humaniz. Comput. 15(1): 877-891 (2024) - [j137]Anurag Nishad, Ram Bilas Pachori
, U. Rajendra Acharya
:
Application of TQWT based filter-bank for sleep apnea screening using ECG signals. J. Ambient Intell. Humaniz. Comput. 15(1): 893-904 (2024) - [j136]Lingraj Dora, Sanjay Agrawal
, Rutuparna Panda, Ram Bilas Pachori:
Pathological brain classification using multiple kernel-based deep convolutional neural network. Neural Comput. Appl. 36(2): 747-756 (2024) - [j135]Sushant Kumar, Ram Bilas Pachori, Bhabesh Deka
, Sumit Datta:
Opportunities and Challenges in Deep Compressed Sensing Techniques for Multichannel ECG Data Compression. SN Comput. Sci. 5(8): 1147 (2024) - [j134]Kodali Radha, Mohan Bansal
, Ram Bilas Pachori:
Automatic speaker and age identification of children from raw speech using sincNet over ERB scale. Speech Commun. 159: 103069 (2024) - [j133]Vijay Kumar Kashyap, Rishi Raj Sharma
, Ram Bilas Pachori
:
Complex Flexible Analytic Wavelet Transform for UAV State Identification Using RF Signal. IEEE Trans. Aerosp. Electron. Syst. 60(2): 1471-1481 (2024) - [j132]Pradeep Kumar Chaudhary
, Ram Bilas Pachori
:
Differentiation of Benign and Malignant Masses in Mammogram Using 2D-Fourier-Bessel Intrinsic Band Functions and Improved Feature Space. IEEE Trans. Artif. Intell. 5(11): 5442-5451 (2024) - [j131]Sibghatullah Inayatullah Khan
, Ram Bilas Pachori
:
Automated Bundle Branch Block Detection Using Multivariate Fourier-Bessel Series Expansion-Based Empirical Wavelet Transform. IEEE Trans. Artif. Intell. 5(11): 5643-5654 (2024) - [j130]Kumari Jyoti
, Mohit Kumar Gautam
, Sanjay Kumar
, Sai Sushma
, Ram Bilas Pachori
, Shaibal Mukherjee
:
Memristive Crossbar Array-Based Computing Framework via DWT for Biomedical Image Enhancement. IEEE Trans. Emerg. Top. Comput. 12(3): 766-779 (2024) - [j129]Shailesh Vitthalrao Bhalerao
, Ram Bilas Pachori
:
Automated Classification of Cognitive Visual Objects Using Multivariate Swarm Sparse Decomposition From Multichannel EEG-MEG Signals. IEEE Trans. Hum. Mach. Syst. 54(4): 455-464 (2024) - [c35]Achinta Mondal, M. Sabarimalai Manikandan, Ram Bilas Pachori:
ECG Quality Detection and Noise Classification for Wearable Cardiac Health Monitoring Devices. ECAI 2024: 1-6 - [c34]Nabasmita Phukan, M. Sabarimalai Manikandan, Ram Bilas Pachori:
Noise-Aware Atrial Fibrillation Detection for Resource-Constrained Wearable Devices. ECAI 2024: 1-6 - [c33]Nabasmita Phukan, M. Sabarimalai Manikandan, Ram Bilas Pachori:
A Simple Automated VT/VF Detection Method for Resource-Constrained Life Threatening Arrhythmia Monitoring Devices. ICSPIS 2024: 1-6 - [c32]Venu Gopal Yamalakonda, Ram Bilas Pachori, Balasubramanyam Appina, Abhinoy Kumar Singh:
State Estimation of Nonlinear Oscillatory Chaotic System: Application to Aircraft Wing Rock Using Cubature Particle Filtering. TENCON 2024: 932-935 - [c31]Abhinoy Kumar Singh, Venu Gopal Yamalakonda, Ram Bilas Pachori, Balasubramanyam Appina:
State Estimation of Jagged-Shape Chaotic Oscillator Using Noisy Sensor Measurements. TENCON 2024: 1402-1405 - 2023
- [j128]Arti Anuragi
, Dilip Singh Sisodia
, Ram Bilas Pachori:
Classification of focal and non-focal EEG signals using optimal geometrical features derived from a second-order difference plot of FBSE-EWT rhythms. Artif. Intell. Medicine 139: 102542 (2023) - [j127]Navid Ghassemi
, Afshin Shoeibi
, Marjane Khodatars
, Jónathan Heras, Alireza Rahimi, Assef Zare, Yu-Dong Zhang, Ram Bilas Pachori, Juan Manuel Górriz:
Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning. Appl. Soft Comput. 144: 110511 (2023) - [j126]N. P. Guhan Seshadri, Sneha Agrawal, Bikesh Kumar Singh, B. Geethanjali, Mahesh Veezhinathan, Ram Bilas Pachori:
EEG based classification of children with learning disabilities using shallow and deep neural network. Biomed. Signal Process. Control. 82: 104553 (2023) - [j125]Shaswati Dash, Pranjali Gajbhiye
, Phattarapong Sawangjai, Guntitat Sawadwuthikul
, Thapanun Sudhawiyangkul, Rajesh Kumar Tripathy
, Ram Bilas Pachori
:
Dyadic boundary points based empirical wavelet transform for the elimination of eye movement and eye blink-based ocular artifacts from EEG signals. Biomed. Signal Process. Control. 85: 104996 (2023) - [j124]Kushangi Atrey
, Bikesh Kumar Singh, Narendra Kuber Bodhey, Ram Bilas Pachori:
Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach. Biomed. Signal Process. Control. 86(Part A): 104919 (2023) - [j123]Kumari Jyoti
, Sai Sushma, Saurabh Yadav
, Pawan Kumar
, Ram Bilas Pachori, Shaibal Mukherjee
:
Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images. Comput. Biol. Medicine 152: 106331 (2023) - [j122]Pradeep Kumar Chaudhary
, Vipin Gupta
, Ram Bilas Pachori
:
Fourier-Bessel representation for signal processing: A review. Digit. Signal Process. 135: 103938 (2023) - [j121]Venu Gopal Yamalakonda
, Guddu Kumar, Ram Bilas Pachori, Abhinoy Kumar Singh:
Oscillatory Kalman filtering for Duffing, Coulomb, and Van der Pol oscillators. Signal Process. 211: 109091 (2023) - [j120]Kritiprasanna Das
, Ram Bilas Pachori
:
Electroencephalogram-Based Motor Imagery Brain-Computer Interface Using Multivariate Iterative Filtering and Spatial Filtering. IEEE Trans. Cogn. Dev. Syst. 15(3): 1408-1418 (2023) - [j119]Abhijit Bhattacharyya
, Aarushi Verma
, Radu Ranta
, Ram Bilas Pachori
:
Ocular Artifacts Elimination From Multivariate EEG Signal Using Frequency-Spatial Filtering. IEEE Trans. Cogn. Dev. Syst. 15(3): 1547-1559 (2023) - [j118]Pallabi Sharma, Anmol Gautam, Pallab Maji, Ram Bilas Pachori, Bunil Kumar Balabantaray:
Li-SegPNet: Encoder-Decoder Mode Lightweight Segmentation Network for Colorectal Polyps Analysis. IEEE Trans. Biomed. Eng. 70(4): 1330-1339 (2023) - [j117]Nabasmita Phukan
, M. Sabarimalai Manikandan
, Ram Bilas Pachori
:
AFibri-Net: A Lightweight Convolution Neural Network Based Atrial Fibrillation Detector. IEEE Trans. Circuits Syst. I Regul. Pap. 70(12): 4962-4974 (2023) - [j116]Sibghatullah Inayatullah Khan
, Ram Bilas Pachori
:
Automated Eye Movement Classification Based on EMG of EOM Signals Using FBSE-EWT Technique. IEEE Trans. Hum. Mach. Syst. 53(2): 346-356 (2023) - [j115]Rahul Dubey
, Rishi Raj Sharma
, Abhay Upadhyay, Ram Bilas Pachori
:
Automated Variational Nonlinear Chirp Mode Decomposition for Bearing Fault Diagnosis. IEEE Trans. Ind. Informatics 19(11): 10873-10882 (2023) - [j114]Sathvik Bhaskarpandit
, Anurag Gade
, Shaswati Dash
, Dinesh Kumar Dash
, Rajesh Kumar Tripathy
, Ram Bilas Pachori
:
Detection of Myocardial Infarction From 12-Lead ECG Trace Images Using Eigendomain Deep Representation Learning. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j113]Dipankar Das
, Deepak Ranjan Nayak
, Ram Bilas Pachori
:
CA-Net: A Novel Cascaded Attention-Based Network for Multistage Glaucoma Classification Using Fundus Images. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j112]Anurag Gade
, Dinesh Kumar Dash
, T. Mita Kumari
, Samit Kumar Ghosh
, Rajesh Kumar Tripathy
, Ram Bilas Pachori
:
Multiscale Analysis Domain Interpretable Deep Neural Network for Detection of Breast Cancer Using Thermogram Images. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j111]Ajay Kumar Reddy Poreddy
, Raja Bharath Chandra Ganeswaram
, Balasubramanyam Appina
, Priyanka Kokil
, Ram Bilas Pachori
:
No-Reference Virtual Reality Image Quality Evaluator Using Global and Local Natural Scene Statistics. IEEE Trans. Instrum. Meas. 72: 1-16 (2023) - [j110]Y. S. Upendra Vishwanath
, Sankaralingam Esakkirajan
, Balraj Keerthiveena
, Ram Bilas Pachori
:
A Generalized Classification Framework for Power Quality Disturbances Based on Synchrosqueezed Wavelet Transform and Convolutional Neural Networks. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - 2022
- [j109]Guddu Kumar
, Paresh Date
, Ram Bilas Pachori
, R. Swaminathan
, Abhinoy Kumar Singh
:
Wrapped Particle Filtering for Angular Data. IEEE Access 10: 90287-90298 (2022) - [j108]Pramod Gaur, Vatsal Malaviya, Abhay Gupta, Gautam Bhatia, Ram Bilas Pachori
, Divyesh Sharma:
COVID-19 disease identification from chest CT images using empirical wavelet transformation and transfer learning. Biomed. Signal Process. Control. 71(Part): 103076 (2022) - [j107]Rahul Dubey, Mohit Kumar
, Abhay Upadhyay, Ram Bilas Pachori
:
Automated diagnosis of muscle diseases from EMG signals using empirical mode decomposition based method. Biomed. Signal Process. Control. 71(Part): 103098 (2022) - [j106]Arti Anuragi, Dilip Singh Sisodia
, Ram Bilas Pachori
:
Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners. Biomed. Signal Process. Control. 71(Part): 103138 (2022) - [j105]Abhijit Bhattacharyya, Divyanshu Bhaik, Sunil Kumar
, Prayas Thakur, Rahul Sharma
, Ram Bilas Pachori
:
A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images. Biomed. Signal Process. Control. 71(Part): 103182 (2022) - [j104]Sibghatullah I. Khan
, Saeed Mian Qaisar
, Ram Bilas Pachori
:
Automated classification of valvular heart diseases using FBSE-EWT and PSR based geometrical features. Biomed. Signal Process. Control. 73: 103445 (2022) - [j103]Geetika Kaushik, Pramod Gaur, Rishi Raj Sharma, Ram Bilas Pachori:
EEG signal based seizure detection focused on Hjorth parameters from tunable-Q wavelet sub-bands. Biomed. Signal Process. Control. 76: 103645 (2022) - [j102]Shailesh Vitthalrao Bhalerao, Ram Bilas Pachori:
Sparse spectrum based swarm decomposition for robust nonstationary signal analysis with application to sleep apnea detection from EEG. Biomed. Signal Process. Control. 77: 103792 (2022) - [j101]Sakambhari Mahapatra, Sanjay Agrawal
, Pranaba K. Mishro
, Ram Bilas Pachori:
A novel framework for retinal vessel segmentation using optimal improved frangi filter and adaptive weighted spatial FCM. Comput. Biol. Medicine 147: 105770 (2022) - [j100]Amrit Panda
, Ram Bilas Pachori, Naveen Kakkar
, M. Joseph John, Neeta Devi Sinnappah-Kang
:
Screening chronic myeloid leukemia neutrophils using a novel 3-Dimensional Spectral Gradient Mapping algorithm on hyperspectral images. Comput. Methods Programs Biomed. 220: 106836 (2022) - [j99]Aditya Nalwaya
, Kritiprasanna Das
, Ram Bilas Pachori
:
Automated Emotion Identification Using Fourier-Bessel Domain-Based Entropies. Entropy 24(10): 1322 (2022) - [j98]Arti Anuragi, Dilip Singh Sisodia
, Ram Bilas Pachori:
EEG-based cross-subject emotion recognition using Fourier-Bessel series expansion based empirical wavelet transform and NCA feature selection method. Inf. Sci. 610: 508-524 (2022) - [j97]Pramod Gaur
, Anirban Chowdhury
, Karl A. McCreadie
, Ram Bilas Pachori
, Hui Wang
:
Logistic Regression With Tangent Space-Based Cross-Subject Learning for Enhancing Motor Imagery Classification. IEEE Trans. Cogn. Dev. Syst. 14(3): 1188-1197 (2022) - [j96]Pradeep Kumar Chaudhary
, Ram Bilas Pachori
:
Automatic Diagnosis of Different Grades of Diabetic Retinopathy and Diabetic Macular Edema Using 2-D-FBSE-FAWT. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j95]Binish Fatimah
, Pushpendra Singh
, Amit Singhal
, Ram Bilas Pachori
:
Biometric Identification From ECG Signals Using Fourier Decomposition and Machine Learning. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j94]Samit Kumar Ghosh
, R. N. Ponnalagu
, Rajesh Kumar Tripathy
, Ganapati Panda
, Ram Bilas Pachori
:
Automated Heart Sound Activity Detection From PCG Signal Using Time-Frequency-Domain Deep Neural Network. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j93]Vipin Gupta
, Ram Bilas Pachori
:
FB Dictionary Based SSBL-EM and Its Application for Multi-Class SSVEP Classification Using Eight-Channel EEG Signals. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - [j92]Parisa Moridian, Afshin Shoeibi
, Marjane Khodatars
, Mahboobeh Jafari, Ram Bilas Pachori, Ali Khadem
, Roohallah Alizadehsani, Sai Ho Ling:
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works. WIREs Data Mining Knowl. Discov. 12(6) (2022) - [c30]Shrikant Sharma, Adway Girish, Nikhar P. Rakhashia, Vikram M. Gadre, Shaan Ul Haque, Aseer Ansari
, Ram Bilas Pachori, P. Radhakrishna, Peeyush Sahay:
Theoretical Analysis of an Inverse Radon Transform Based Multicomponent Micro-Doppler Parameter Estimation Algorithm. NCC 2022: 70-75 - 2021
- [j91]Pradeep Kumar Chaudhary
, Ram Bilas Pachori
:
Automatic diagnosis of glaucoma using two-dimensional Fourier-Bessel series expansion based empirical wavelet transform. Biomed. Signal Process. Control. 64: 102237 (2021) - [j90]Vipin Gupta
, Ram Bilas Pachori
:
FBDM based time-frequency representation for sleep stages classification using EEG signals. Biomed. Signal Process. Control. 64: 102265 (2021) - [j89]Soumya Ranjan Nayak
, Deepak Ranjan Nayak
, Utkarsh Sinha
, Vaibhav Arora, Ram Bilas Pachori
:
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study. Biomed. Signal Process. Control. 64: 102365 (2021) - [j88]Kritiprasanna Das
, Ram Bilas Pachori
:
Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals. Biomed. Signal Process. Control. 67: 102525 (2021) - [j87]Pramod Gaur, Karl A. McCreadie, Ram Bilas Pachori
, Hui Wang, Girijesh Prasad
:
An automatic subject specific channel selection method for enhancing motor imagery classification in EEG-BCI using correlation. Biomed. Signal Process. Control. 68: 102574 (2021) - [j86]Binish Fatimah
, Pushpendra Singh
, Amit Singhal, Dipro Pramanick, Pranav Shivashankaran, Ram Bilas Pachori
:
Efficient detection of myocardial infarction from single lead ECG signal. Biomed. Signal Process. Control. 68: 102678 (2021) - [j85]Amrit Panda
, Ram Bilas Pachori
, Neeta Devi Sinnappah-Kang
:
Classification of chronic myeloid leukemia neutrophils by hyperspectral imaging using Euclidean and Mahalanobis distances. Biomed. Signal Process. Control. 70: 103025 (2021) - [j84]Sibghatullah I. Khan
, Ram Bilas Pachori
:
Derived vectorcardiogram based automated detection of posterior myocardial infarction using FBSE-EWT technique. Biomed. Signal Process. Control. 70: 103051 (2021) - [j83]Pradeep Kumar Chaudhary
, Ram Bilas Pachori
:
FBSED based automatic diagnosis of COVID-19 using X-ray and CT images. Comput. Biol. Medicine 134: 104454 (2021) - [j82]Arti Anuragi
, Dilip Singh Sisodia
, Ram Bilas Pachori
:
Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals. Comput. Biol. Medicine 136: 104708 (2021) - [j81]Rohan Panda, Sahil Jain, R. K. Tripathy
, Rishi Raj Sharma
, Ram Bilas Pachori
:
Sliding Mode Singular Spectrum Analysis for the Elimination of Cross-Terms in Wigner-Ville Distribution. Circuits Syst. Signal Process. 40(3): 1207-1232 (2021) - [j80]Riyaj Uddin Khan
, Mohammad Tanveer
, Ram Bilas Pachori
, Alzheimer's Disease Neuroimaging Initiative:
A novel method for the classification of Alzheimer's disease from normal controls using magnetic resonance imaging. Expert Syst. J. Knowl. Eng. 38(1) (2021) - [j79]Sibghatullah I. Khan
, Ram Bilas Pachori
:
Automated classification of lung sound signals based on empirical mode decomposition. Expert Syst. Appl. 184: 115456 (2021) - [j78]Amit Singhal, Megha Agarwal
, Ram Bilas Pachori
:
Directional local ternary co-occurrence pattern for natural image retrieval. Multim. Tools Appl. 80(10): 15901-15920 (2021) - [j77]Pramod Gaur
, Harsh Gupta
, Anirban Chowdhury
, Karl A. McCreadie
, Ram Bilas Pachori
, Hui Wang
:
A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [i1]Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, Jónathan Heras, Alireza Rahimi, Assef Zare, Ram Bilas Pachori, Juan Manuel Górriz:
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning. CoRR abs/2104.11949 (2021) - 2020
- [j76]Amit Singhal
, Pushpendra Singh
, Binish Fatimah
, Ram Bilas Pachori
:
An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique. Biomed. Signal Process. Control. 57 (2020) - [j75]Rahul Sharma
, Pradip Sircar, Ram Bilas Pachori
:
Automated focal EEG signal detection based on third order cumulant function. Biomed. Signal Process. Control. 58: 101856 (2020) - [j74]Deepak Ranjan Nayak
, Ratnakar Dash, Banshidhar Majhi, Ram Bilas Pachori
, Yudong Zhang
:
A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer. Biomed. Signal Process. Control. 58: 101860 (2020) - [j73]Rahul Sharma
, Ram Bilas Pachori
, Pradip Sircar:
Automated emotion recognition based on higher order statistics and deep learning algorithm. Biomed. Signal Process. Control. 58: 101867 (2020) - [j72]Anil K. Shukla, Rajesh K. Pandey
, Ram Bilas Pachori
:
A fractional filter based efficient algorithm for retinal blood vessel segmentation. Biomed. Signal Process. Control. 59: 101883 (2020) - [j71]Rahul Sharma
, Ram Bilas Pachori
, Pradip Sircar
:
Seizures classification based on higher order statistics and deep neural network. Biomed. Signal Process. Control. 59: 101921 (2020) - [j70]Binish Fatimah
, Pushpendra Singh
, Amit Singhal
, Ram Bilas Pachori
:
Detection of apnea events from ECG segments using Fourier decomposition method. Biomed. Signal Process. Control. 61: 102005 (2020) - [j69]Vipin Gupta
, Ram Bilas Pachori
:
Classification of focal EEG signals using FBSE based flexible time-frequency coverage wavelet transform. Biomed. Signal Process. Control. 62: 102124 (2020) - [j68]Anil K. Shukla, Rajesh K. Pandey
, Swati Yadav, Ram Bilas Pachori
:
Generalized Fractional Filter-Based Algorithm for Image Denoising. Circuits Syst. Signal Process. 39(1): 363-390 (2020) - [j67]Abhay Upadhyay, Manish Sharma
, Ram Bilas Pachori
, Rajeev Sharma
:
A Nonparametric Approach for Multicomponent AM-FM Signal Analysis. Circuits Syst. Signal Process. 39(12): 6316-6357 (2020) - [j66]Himali Singh
, Rajesh K. Tripathy, Ram Bilas Pachori
:
Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis. Digit. Signal Process. 104: 102796 (2020) - [j65]A. Gupta, Riyaj Uddin Khan, Vivek Kumar Singh, Muhammad Tanveer, Dinesh K. Kumar
, A. Chakraborti, Ram Bilas Pachori
:
A novel approach for classification of mental tasks using multiview ensemble learning (MEL). Neurocomputing 417: 558-584 (2020) - [j64]Rishi Raj Sharma
, Avinash Kalyani, Ram Bilas Pachori
:
An empirical wavelet transform-based approach for cross-terms-free Wigner-Ville distribution. Signal Image Video Process. 14(2): 249-256 (2020) - [c29]Pradeep Kumar Chaudhary
, Ram Bilas Pachori
:
Automatic diagnosis of COVID-19 and pneumonia using FBD method. BIBM 2020: 2257-2263 - [c28]Vivek Kumar Singh
, Ram Bilas Pachori
:
Sliding Eigenvalue Decomposition for Non-stationary Signal Analysis. SPCOM 2020: 1-5
2010 – 2019
- 2019
- [j63]Vipin Gupta
, Ram Bilas Pachori
:
Epileptic seizure identification using entropy of FBSE based EEG rhythms. Biomed. Signal Process. Control. 53 (2019) - [j62]Shishir Maheshwari
, Vivek Kanhangad, Ram Bilas Pachori
, Sulatha V. Bhandary, U. Rajendra Acharya
:
Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques. Comput. Biol. Medicine 105: 72-80 (2019) - [j61]Anurag Nishad, Abhay Upadhyay, Ram Bilas Pachori
, U. Rajendra Acharya
:
Automated classification of hand movements using tunable-Q wavelet transform based filter-bank with surface electromyogram signals. Future Gener. Comput. Syst. 93: 96-110 (2019) - [j60]Dheeraj Kumar Agrawal
, Bhupendra Singh Kirar
, Ram Bilas Pachori
:
Automated glaucoma detection using quasi-bivariate variational mode decomposition from fundus images. IET Image Process. 13(13): 2401-2408 (2019) - [j59]Pramod Gaur, Karl A. McCreadie, Ram Bilas Pachori
, Hui Wang
, Girijesh Prasad
:
Tangent Space Features-Based Transfer Learning Classification Model for Two-Class Motor Imagery Brain-Computer Interface. Int. J. Neural Syst. 29(10): 1950025:1-1950025:17 (2019) - [j58]Abhijit Bhattacharyya
, Radu Ranta
, Steven Le Cam, Valérie Louis-Dorr, Louise Tyvaert, Sophie Colnat-Coulbois, Louis Maillard, Ram Bilas Pachori
:
A Multi-Channel Approach for Cortical Stimulation Artefact Suppression in Depth EEG Signals Using Time-Frequency and Spatial Filtering. IEEE Trans. Biomed. Eng. 66(7): 1915-1926 (2019) - 2018
- [j57]Rajeev Sharma, Ram Bilas Pachori
:
Baseline wander and power line interference removal from ECG signals using eigenvalue decomposition. Biomed. Signal Process. Control. 45: 33-49 (2018) - [j56]Dinesh Bhati, Ram Bilas Pachori
, Manish Sharma
, Vikram M. Gadre:
Design of Time-Frequency-Localized Two-Band Orthogonal Wavelet Filter Banks. Circuits Syst. Signal Process. 37(8): 3295-3312 (2018) - [j55]Rishi Raj Sharma
, Ram Bilas Pachori
:
Eigenvalue Decomposition of Hankel Matrix-Based Time-Frequency Representation for Complex Signals. Circuits Syst. Signal Process. 37(8): 3313-3329 (2018) - [j54]Rishi Raj Sharma
, Ram Bilas Pachori
:
Improved Eigenvalue Decomposition-Based Approach for Reducing Cross-Terms in Wigner-Ville Distribution. Circuits Syst. Signal Process. 37(8): 3330-3350 (2018) - [j53]Rishi Raj Sharma
, Ram Bilas Pachori
:
Correction to: Improved Eigenvalue Decomposition-Based Approach for Reducing Cross-Terms in Wigner-Ville Distribution. Circuits Syst. Signal Process. 37(8): 3351-3352 (2018) - [j52]Abhijit Bhattacharyya
, Lokesh Singh
, Ram Bilas Pachori
:
Fourier-Bessel series expansion based empirical wavelet transform for analysis of non-stationary signals. Digit. Signal Process. 78: 185-196 (2018) - [j51]Pramod Gaur, Ram Bilas Pachori
, Hui Wang
, Girijesh Prasad
:
A multi-class EEG-based BCI classification using multivariate empirical mode decomposition based filtering and Riemannian geometry. Expert Syst. Appl. 95: 201-211 (2018) - [j50]Manish Sharma
, Pragya Sharma, Ram Bilas Pachori
, U. Rajendra Acharya
:
Dual-Tree Complex Wavelet Transform-Based Features for Automated Alcoholism Identification. Int. J. Fuzzy Syst. 20(4): 1297-1308 (2018) - [c27]Vipin Gupta
, Anurag Nishad, Ram Bilas Pachori
:
Focal EEG signal detection based on constant-bandwidth TQWT filter-banks. BIBM 2018: 2597-2604 - [c26]Swastik Gupta, Konduri Hari Krishna, Ram Bilas Pachori
, Muhammad Tanveer:
Fourier-Bessel series expansion based technique for automated classification of focal and non-focal EEG signals. IJCNN 2018: 1-6 - [c25]Anurag Nishad, Ram Bilas Pachori
:
Instantaneous fundamental frequency estimation of speech signals using tunable-$Q$ wavelet transform. SPCOM 2018: 157-161 - [c24]Muhammad Tanveer, Ram Bilas Pachori
, N. V. Angami:
Entropy based features in FAWT framework for automated detection of epileptic seizure EEG signals. SSCI 2018: 1946-1952 - [c23]Muhammad Tanveer, Ram Bilas Pachori
, N. V. Angami:
Classification of seizure and seizure-free EEG signals using Hjorth parameters. SSCI 2018: 2180-2185 - 2017
- [j49]Shivnarayan Patidar
, Ram Bilas Pachori
, Abhay Upadhyay, U. Rajendra Acharya
:
An integrated alcoholic index using tunable-Q wavelet transform based features extracted from EEG signals for diagnosis of alcoholism. Appl. Soft Comput. 50: 71-78 (2017) - [j48]Mohit Kumar
, Ram Bilas Pachori
, U. Rajendra Acharya
:
Characterization of coronary artery disease using flexible analytic wavelet transform applied on ECG signals. Biomed. Signal Process. Control. 31: 301-308 (2017) - [j47]Shishir Maheshwari
, Ram Bilas Pachori
, Vivek Kanhangad, Sulatha V. Bhandary
, U. Rajendra Acharya
:
Iterative variational mode decomposition based automated detection of glaucoma using fundus images. Comput. Biol. Medicine 88: 142-149 (2017) - [j46]Abhay Upadhyay, Manish Sharma
, Ram Bilas Pachori
:
Determination of instantaneous fundamental frequency of speech signals using variational mode decomposition. Comput. Electr. Eng. 62: 630-647 (2017) - [j45]Dinesh Bhati, Manish Sharma
, Ram Bilas Pachori
, Vikram M. Gadre:
Time-frequency localized three-band biorthogonal wavelet filter bank using semidefinite relaxation and nonlinear least squares with epileptic seizure EEG signal classification. Digit. Signal Process. 62: 259-273 (2017) - [j44]Dinesh Bhati, Ram Bilas Pachori
, Vikram M. Gadre:
A novel approach for time-frequency localization of scaling functions and design of three-band biorthogonal linear phase wavelet filter banks. Digit. Signal Process. 69: 309-322 (2017) - [j43]Mohit Kumar
, Ram Bilas Pachori
, U. Rajendra Acharya
:
Use of Accumulated Entropies for Automated Detection of Congestive Heart Failure in Flexible Analytic Wavelet Transform Framework Based on Short-Term HRV Signals. Entropy 19(3): 92 (2017) - [j42]Abhijit Bhattacharyya
, Ram Bilas Pachori
, U. Rajendra Acharya
:
Tunable-Q Wavelet Transform Based Multivariate Sub-Band Fuzzy Entropy with Application to Focal EEG Signal Analysis. Entropy 19(3): 99 (2017) - [j41]Mohit Kumar
, Ram Bilas Pachori
, U. Rajendra Acharya
:
Automated Diagnosis of Myocardial Infarction ECG Signals Using Sample Entropy in Flexible Analytic Wavelet Transform Framework. Entropy 19(9): 488 (2017) - [j40]Rajeev Sharma
, Mohit Kumar
, Ram Bilas Pachori
, U. Rajendra Acharya
:
Decision support system for focal EEG signals using tunable-Q wavelet transform. J. Comput. Sci. 20: 52-60 (2017) - [j39]Manish Sharma
, Abhinav Dhere
, Ram Bilas Pachori
, U. Rajendra Acharya
:
An automatic detection of focal EEG signals using new class of time-frequency localized orthogonal wavelet filter banks. Knowl. Based Syst. 118: 217-227 (2017) - [j38]Rajeev Sharma
, Ram Bilas Pachori
, Abhay Upadhyay:
Automatic sleep stages classification based on iterative filtering of electroencephalogram signals. Neural Comput. Appl. 28(10): 2959-2978 (2017) - [j37]Manish Sharma
, Ram Bilas Pachori
, U. Rajendra Acharya
:
A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension. Pattern Recognit. Lett. 94: 172-179 (2017) - [j36]Vipin Gupta
, Tanvi Priya, Abhishek Kumar Yadav, Ram Bilas Pachori
, U. Rajendra Acharya
:
Automated detection of focal EEG signals using features extracted from flexible analytic wavelet transform. Pattern Recognit. Lett. 94: 180-188 (2017) - [j35]Manish Sharma
, Abhinav Dhere
, Ram Bilas Pachori
, Vikram M. Gadre:
Optimal duration-bandwidth localized antisymmetric biorthogonal wavelet filters. Signal Process. 134: 87-99 (2017) - [j34]Manish Sharma
, Achuth P. V., Ram Bilas Pachori
, Vikram M. Gadre:
A parametrization technique to design joint time-frequency optimized discrete-time biorthogonal wavelet bases. Signal Process. 135: 107-120 (2017) - [j33]Ashwani Kumar Tiwari, Vivek Kanhangad, Ram Bilas Pachori
:
Histogram refinement for texture descriptor based image retrieval. Signal Process. Image Commun. 53: 73-85 (2017) - [j32]Abhijit Bhattacharyya
, Ram Bilas Pachori
:
A Multivariate Approach for Patient-Specific EEG Seizure Detection Using Empirical Wavelet Transform. IEEE Trans. Biomed. Eng. 64(9): 2003-2015 (2017) - [j31]Shishir Maheshwari
, Ram Bilas Pachori
, U. Rajendra Acharya
:
Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted From Fundus Images. IEEE J. Biomed. Health Informatics 21(3): 803-813 (2017) - [j30]Ashwani Kumar Tiwari, Ram Bilas Pachori
, Vivek Kanhangad, Bijaya Ketan Panigrahi:
Automated Diagnosis of Epilepsy Using Key-Point-Based Local Binary Pattern of EEG Signals. IEEE J. Biomed. Health Informatics 21(4): 888-896 (2017) - [c22]Abhijit Bhattacharyya
, Vipin Gupta
, Ram Bilas Pachori
:
Automated identification of epileptic seizure EEG signals using empirical wavelet transform based Hilbert marginal spectrum. DSP 2017: 1-5 - [c21]Vipin Gupta
, Abhijit Bhattacharyya
, Ram Bilas Pachori
:
Classification of seizure and non-seizure EEG signals based on EMD-TQWT method. DSP 2017: 1-5 - 2016
- [j29]Manish Sharma
, Dinesh Bhati, Swapna Pillai, Ram Bilas Pachori
, Vikram M. Gadre:
Design of Time-Frequency Localized Filter Banks: Transforming Non-convex Problem into Convex Via Semidefinite Relaxation Technique. Circuits Syst. Signal Process. 35(10): 3716-3733 (2016) - [j28]Dinesh Bhati, Manish Sharma
, Ram Bilas Pachori
, Sujath S. Nair, Vikram M. Gadre:
Design of Time-Frequency Optimal Three-Band Wavelet Filter Banks with Unit Sobolev Regularity Using Frequency Domain Sampling. Circuits Syst. Signal Process. 35(12): 4501-4531 (2016) - [j27]Mohit Kumar
, Ram Bilas Pachori
, U. Rajendra Acharya
:
An efficient automated technique for CAD diagnosis using flexible analytic wavelet transform and entropy features extracted from HRV signals. Expert Syst. Appl. 63: 165-172 (2016) - [j26]Ram Bilas Pachori
, Anurag Nishad:
Cross-terms reduction in the Wigner-Ville distribution using tunable-Q wavelet transform. Signal Process. 120: 288-304 (2016) - 2015
- [j25]T. Sunil Kumar
, Vivek Kanhangad, Ram Bilas Pachori
:
Classification of seizure and seizure-free EEG signals using local binary patterns. Biomed. Signal Process. Control. 15: 33-40 (2015) - [j24]Rajeev Sharma
, Ram Bilas Pachori
, U. Rajendra Acharya
:
Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals. Entropy 17(2): 669-691 (2015) - [j23]Rajeev Sharma
, Ram Bilas Pachori
, U. Rajendra Acharya
:
An Integrated Index for the Identification of Focal Electroencephalogram Signals Using Discrete Wavelet Transform and Entropy Measures. Entropy 17(8): 5218-5240 (2015) - [j22]Rajeev Sharma
, Ram Bilas Pachori
:
Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions. Expert Syst. Appl. 42(3): 1106-1117 (2015) - [j21]Shivnarayan Patidar
, Ram Bilas Pachori
, Niranjan Garg:
Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals. Expert Syst. Appl. 42(7): 3315-3326 (2015) - [j20]Ram Bilas Pachori
, Pakala Avinash, Kora Shashank, Rajeev Sharma
, U. Rajendra Acharya
:
Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals. Expert Syst. Appl. 42(9): 4567-4581 (2015) - [j19]Avinash Shrikant Hood, Ram Bilas Pachori
, Varuna Kumar Reddy, Pradip Sircar:
Parametric representation of speech employing multi-component AFM signal model. Int. J. Speech Technol. 18(3): 287-303 (2015) - [j18]Abhay Upadhyay, Ram Bilas Pachori
:
Instantaneous voiced/non-voiced detection in speech signals based on variational mode decomposition. J. Frankl. Inst. 352(7): 2679-2707 (2015) - [j17]Pooja Jain, Ram Bilas Pachori
:
An iterative approach for decomposition of multi-component non-stationary signals based on eigenvalue decomposition of the Hankel matrix. J. Frankl. Inst. 352(10): 4017-4044 (2015) - [j16]Shivnarayan Patidar
, Ram Bilas Pachori
, U. Rajendra Acharya
:
Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals. Knowl. Based Syst. 82: 1-10 (2015) - [c20]Abhay Upadhyay, Ram Bilas Pachori
:
A new method for determination of instantaneous pitch frequency from speech signals. SP/SPE 2015: 325-330 - [c19]Pramod Gaur, Ram Bilas Pachori
, Hui Wang
, Girijesh Prasad
:
An empirical mode decomposition based filtering method for classification of motor-imagery EEG signals for enhancing brain-computer interface. IJCNN 2015: 1-7 - [p3]Varun Bajaj
, Ram Bilas Pachori
:
Detection of Human Emotions Using Features Based on the Multiwavelet Transform of EEG Signals. Brain-Computer Interfaces 2015: 215-240 - [p2]Shivnarayan Patidar
, Ram Bilas Pachori
:
Classification of Heart Disorders Based on Tunable-Q Wavelet Transform of Cardiac Sound Signals. Chaos Modeling and Control Systems Design 2015: 239-264 - [p1]Ram Bilas Pachori
, Rajeev Sharma
, Shivnarayan Patidar
:
Classification of Normal and Epileptic Seizure EEG Signals Based on Empirical Mode Decomposition. Complex System Modelling and Control Through Intelligent Soft Computations 2015: 367-388 - 2014
- [j15]Varun Joshi
, Ram Bilas Pachori
, V. Antony Vijesh:
Classification of ictal and seizure-free EEG signals using fractional linear prediction. Biomed. Signal Process. Control. 9: 1-5 (2014) - [j14]Ram Bilas Pachori
, Shivnarayan Patidar
:
Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions. Comput. Methods Programs Biomed. 113(2): 494-502 (2014) - [j13]Shivnarayan Patidar
, Ram Bilas Pachori
:
Classification of cardiac sound signals using constrained tunable-Q wavelet transform. Expert Syst. Appl. 41(16): 7161-7170 (2014) - [j12]Pooja Jain, Ram Bilas Pachori
:
Event-Based Method for Instantaneous Fundamental Frequency Estimation from Voiced Speech Based on Eigenvalue Decomposition of the Hankel Matrix. IEEE ACM Trans. Audio Speech Lang. Process. 22(10): 1467-1482 (2014) - [c18]Shivnarayan Patidar
, Ram Bilas Pachori
, Niranjan Garg:
Detection of septal defects from cardiac sound signals using tunable-Q wavelet transform. DSP 2014: 580-585 - [c17]T. Sunil Kumar
, Vivek Kanhangad, Ram Bilas Pachori
:
Classification of seizure and seizure-free EEG signals using multi-level local patterns. DSP 2014: 646-650 - [c16]Varun Bajaj
, Ram Bilas Pachori
:
Human Emotion Classification from EEG Signals Using Multiwavelet Transform. ICMB 2014: 125-130 - [c15]Rajeev Sharma
, Ram Bilas Pachori
, Shreya Gautam
:
Empirical Mode Decomposition Based Classification of Focal and Non-focal Seizure EEG Signals. ICMB 2014: 135-140 - 2013
- [j11]Shivnarayan Patidar
, Ram Bilas Pachori
:
Segmentation of cardiac sound signals by removing murmurs using constrained tunable-Q wavelet transform. Biomed. Signal Process. Control. 8(6): 559-567 (2013) - [j10]Varun Bajaj
, Ram Bilas Pachori
:
Automatic classification of sleep stages based on the time-frequency image of EEG signals. Comput. Methods Programs Biomed. 112(3): 320-328 (2013) - [j9]Pooja Jain, Ram Bilas Pachori
:
Marginal energy density over the low frequency range as a feature for voiced/non-voiced detection in noisy speech signals. J. Frankl. Inst. 350(4): 698-716 (2013) - [c14]Pooja Jain, Ram Bilas Pachori
:
GCI identification from voiced speech using the eigen value decomposition of Hankel matrix. ISPA 2013: 371-376 - 2012
- [j8]Pooja Jain, Ram Bilas Pachori
:
Time-Order Representation Based Method for Epoch Detection from Speech Signals. J. Intell. Syst. 21(1): 79-95 (2012) - [j7]Varun Bajaj
, Ram Bilas Pachori
:
Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition. IEEE Trans. Inf. Technol. Biomed. 16(6): 1135-1142 (2012) - [c13]Varun Bajaj
, Ram Bilas Pachori
:
Separation of Rhythms of EEG Signals Based on Hilbert-Huang Transformation with Application to Seizure Detection. ICHIT (1) 2012: 493-500 - [c12]Shivnarayan Patidar
, Ram Bilas Pachori
:
A Continuous Wavelet Transform Based Method for Detecting Heart Valve Disorders Using Phonocardiograph Signals. ICHIT (2) 2012: 513-520 - 2011
- [j6]Ram Bilas Pachori
, Varun Bajaj
:
Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition. Comput. Methods Programs Biomed. 104(3): 373-381 (2011) - [j5]Ram Bilas Pachori
, David J. Hewson
:
Assessment of the Effects of Sensory Perturbations using Fourier-Bessel Expansion Method for Postural Stability Analysis. J. Intell. Syst. 20(2): 167-186 (2011) - [c11]Pooja Jain, Ram Bilas Pachori:
A New Approach for Glottal Closure Instants Detection from Speech Signals. IICAI 2011: 1216-1231 - [c10]Varun Bajaj, Ram Bilas Pachori:
Application of the Sample Entropy for Discrimination between Seizure and Seizure-Free EEG Signals. IICAI 2011: 1232-1247 - [c9]Ram Bilas Pachori, David J. Hewson:
Identification of Time-Varying Effects of Sensory Perturbations for Postural Stability Analysis. IICAI 2011: 1280-1292 - [c8]Varun Bajaj
, Ram Bilas Pachori
:
EEG Signal Classification Using Empirical Mode Decomposition and Support Vector Machine. SocProS (2) 2011: 623-635 - 2010
- [j4]Ram Bilas Pachori
, Pradip Sircar:
Analysis of multicomponent AM-FM signals using FB-DESA method. Digit. Signal Process. 20(1): 42-62 (2010) - [c7]Ram Bilas Pachori
, Suryakanth V. Gangashetty:
Detection of voice onset time using FB expansion and AM-FM model. ISSPA 2010: 149-152 - [c6]Ram Bilas Pachori
, Suryakanth V. Gangashetty
:
AM-FM model based approach for detection of glottal closure instants. ISSPA 2010: 266-269
2000 – 2009
- 2009
- [c5]Ram Bilas Pachori
, David J. Hewson, Hichem Snoussi, Jacques Duchêne:
Postural time-series analysis using Empirical Mode Decomposition and second-order difference plots. ICASSP 2009: 537-540 - [c4]Pradip Sircar, Ram Bilas Pachori
, Rupendra Kumar:
Analysis of rhythms of EEG signals using orthogonal polynomial approximation. ICHIT 2009: 176-180 - 2008
- [j3]Ram Bilas Pachori:
Discrimination between Ictal and Seizure-Free EEG Signals Using Empirical Mode Decomposition. J. Electr. Comput. Eng. 2008 (2008) - [j2]Ram Bilas Pachori
, Pradip Sircar:
EEG signal analysis using FB expansion and second-order linear TVAR process. Signal Process. 88(2): 415-420 (2008) - [c3]Ram Bilas Pachori, Pradip Sircar:
Modeling of multicomponent AM-FM signals using FB expansion and linear TVAR process. EUSIPCO 2008: 1-5 - 2007
- [j1]Ram Bilas Pachori
, Pradip Sircar:
A new technique to reduce cross terms in the Wigner distribution. Digit. Signal Process. 17(2): 466-474 (2007) - 2006
- [c2]Ram Bilas Pachori, Pradip Sircar:
Analysis of multi-component non-stationary signals using Fourier-Bessel transform and Wigner distribution. EUSIPCO 2006: 1-5 - 2005
- [c1]Ram Bilas Pachori
, Pradip Sircar:
Modeling of time varying AR process using nonlinear energy operator. ISSPA 2005: 643-646
Coauthor Index

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