Digital modulation classification under non-Gaussian noise using sparse signal decomposition and maximum likelihood. - Madhusmita Mohanty; Udit Satija; Barathram Ramkumar; M. Sabarimalai Manikandan (NCC, 2015)

A unified sparse signal decomposition and reconstruction framework for elimination of muscle artifacts from ECG signal. - Udit Satija; Barathram Ramkumar; M. Sabarimalai Manikandan (ICASSP, 2016)

Low-complexity detection and classification of ECG noises for automated ECG analysis system. - Udit Satija; Barathram Ramkumar; M. Sabarimalai Manikandan (SPCOM, 2016)

Sparse Representation for Blind Spectrum Sensing in Cognitive Radio: A Compressed Sensing Approach. - Parthapratim De; Udit Satija (Circuits Syst. Signal Process., 2016)

Instantaneous Mixture Channel Selection for Blind Equalization Using Cumulant Features in MIMO Systems. - Udit Satija; Barathram Ramkumar (Circuits Syst. Signal Process., 2016)

Single Channel Blind Source Separation for MISO Communication Systems. - Priyanka Dey; Nikita Trivedi; Udit Satija; Barathram Ramkumar; M. Sabarimalai Manikandan (VTC Fall, 2017)

Real-Time Signal Quality-Aware ECG Telemetry System for IoT-Based Health Care Monitoring. - Udit Satija; Barathram Ramkumar; M. Sabarimalai Manikandan (IEEE Internet Things J., 2017)

Cyclostationary Features Based Modulation Classification in Presence of Non Gaussian Noise Using Sparse Signal Decomposition. - Udit Satija; Madhusmita Mohanty; Barathram Ramkumar (Wirel. Pers. Commun., 2017)

A Novel Sparse Classifier for Automatic Modulation Classification using Cyclostationary Features. - Udit Satija; Barathram Ramkumar; M. Sabarimalai Manikandan (Wirel. Pers. Commun., 2017)

Blind Impulse Estimation and Removal Using Sparse Signal Decomposition Framework for OFDM Systems. - Titir Dutta; Udit Satija; Barathram Ramkumar; M. Sabarimalai Manikandan (Circuits Syst. Signal Process., 2018)

Automated ECG Noise Detection and Classification System for Unsupervised Healthcare Monitoring. - Udit Satija; Barathram Ramkumar; M. Sabarimalai Manikandan (IEEE J. Biomed. Health Informatics, 2018)

Specific Emitter Identification Based on Variational Mode Decomposition and Spectral Features in Single Hop and Relaying Scenarios. - Udit Satija; Nikita Trivedi; Gagarin Biswal; Barathram Ramkumar (IEEE Trans. Inf. Forensics Secur., 2019)

Wavelet Based Waveform Distortion Measures for Assessment of Denoised EEG Quality With Reference to Noise-Free EEG Signal. - Manali Saini; Udit Satija; Madhur Deo Upadhayay (IEEE Signal Process. Lett., 2020)

Multiclass Categorisation of Respiratory Sound Signals Using Neural Network. - Naseem Babu; Jyoti Kumari; Jimson Mathew; Udit Satija; Arijit Mondal (BioCAS, 2022)

One-dimensional convolutional neural network architecture for classification of mental tasks from electroencephalogram. - Manali Saini; Udit Satija; Madhur Deo Upadhayay (Biomed. Signal Process. Control., 2022)

Discriminatory Features Based on Wavelet Energy for Effective Analysis of Electroencephalogram During Mental Tasks. - Manali Saini; Udit Satija; Madhur Deo Upadhayay (Circuits Syst. Signal Process., 2022)

Edge of Medical Things Implementation for Deep Learning-Based Cognitive Task Recognition. - Manali Saini; Deepak Kumar; Udit Satija (IEEE Internet Things Mag., 2022)

MGDMD: Multi-variate generalized dispersive mode decomposition. - Madhukant Sharma; Udit Satija (Signal Process., 2022)

A Unified Attentive Cycle-Generative Adversarial Framework for Deriving Electrocardiogram From Seismocardiogram Signal. - Neeraj; Udit Satija; Jimson Mathew; Ranjan Kumar Behera (IEEE Signal Process. Lett., 2022)

AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework for Asthma Classification Using Lung Sounds. - Arka Roy; Udit Satija (INTERSPEECH, 2023)

AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound Classification. - Arka Roy; Udit Satija (MeMeA, 2023)

Analysis and Classification of Electroglottography Signals for the Detection of Speech Disorders. - Deepak Kumar; Udit Satija; Preetam Kumar (NCC, 2023)

Modulation Classification for Non-orthogonal Multiple Access System using a Modified Residual-CNN. - Ashok Parmar; Kamal M. Captain; Udit Satija; Ankit Chouhan (WCNC, 2023)

A Novel Melspectrogram Snippet Representation Learning Framework for Severity Detection of Chronic Obstructive Pulmonary Diseases. - Arka Roy; Udit Satija (IEEE Trans. Instrum. Meas., 2023)

RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds. - Arka Roy; Udit Satija (IEEE Trans. Instrum. Meas., 2023)

DSCNN-CAU: Deep-Learning-Based Mental Activity Classification for IoT Implementation Toward Portable BCI. - Manali Saini; Udit Satija; Madhur Deo Upadhayay (IEEE Internet Things J., 2023)

Residual Stack-Aided Hybrid CNN-LSTM-Based Automatic Modulation Classification for Orthogonal Time-Frequency Space System. - Anand Kumar; Manish; Udit Satija (IEEE Commun. Lett., 2023)

ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds. - Arka Roy; Udit Satija (SPCOM, 2024)

Hierarchical Deep Learning Framework for Enhanced UAV Classification Mitigating Bluetooth and WiFi Interference. - Chanchal Kumari; Nelapati Lava Prasad; Udit Satija; Barathram Ramkumar (VTC Spring, 2024)

LoRaSONN: A Novel Self-Operational Neural Network Learning Framework for RF-Fingerprint Identification of LoRa Devices. - Surya Pratap Singh; Arka Roy; Udit Satija (WCNC, 2024)

RS-2-BP: A Unified Deep Learning Framework for Deriving EIT-Based Breathing Patterns From Respiratory Sounds. - Arka Roy; Udit Satija (IEEE Signal Process. Lett., 2024)

Blind CFOs Estimation by Capon Method for Multi-User MIMO-OFDMA Uplink System. - Shivani Singh; Sushant Kumar; Sudhan Majhi; Udit Satija (IEEE Signal Process. Lett., 2024)

A Novel Multi-Head Self-Organized Operational Neural Network Architecture for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds. - Arka Roy; Udit Satija (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

A Unified Deep Learning Framework for Smartphone-Enabled ADHD Detection. - Sayantika Mandal; G. Pradeep Kumar; Manali Saini; Udit Satija; Yogesh Kumar (IEEE Trans. Instrum. Meas., 2024)

Pulmo-TS2ONN: A Novel Triple Scale Self Operational Neural Network for Pulmonary Disorder Detection Using Respiratory Sounds. - Arka Roy; Udit Satija; Saurabh Karmakar (IEEE Trans. Instrum. Meas., 2024)

A Unified Joint Contrastive Triplet Loss with Temporal and Frequency Signal Fusion for Diagnosing Heart Murmurs. - Ayushi Pal; Arka Roy; Udit Satija (ICASSP, 2025)

Emotion recognition in virtual and non-virtual environments using EEG signals: Dataset and evaluation. - Naseem Babu; Udit Satija; Jimson Mathew; A. Prasad Vinod 001 (Biomed. Signal Process. Control., 2025)

R2REst: A Unified Deep Learning Framework for Estimating Respiration Rate From Respiratory Sounds. - Soubhagya Ranjan Hota; Arka Roy; Udit Satija (IEEE Signal Process. Lett., 2025)

A Novel Deep Metric Learning-Based State-Stable and Noise-Aware Biometric Authentication Framework Using Seismocardiogram Signals. - Arka Roy; Udit Satija (IEEE Trans. Biom. Behav. Identity Sci., 2025)

Effect of Auscultation Hindering Noises on Detection of Adventitious Respiratory Sounds Using Pretrained Audio Neural Nets: A Comprehensive Study. - Arka Roy; Udit Satija (IEEE Trans. Instrum. Meas., 2025)

High-Mobility Emitter Identification Framework Using RF-Fingerprints in Orthogonal Time-Frequency Space System. - Manish Singh; Surya Pratap Singh; Udit Satija (IEEE Commun. Lett., 2025)

Blind Carrier Frequency Offset Estimation Techniques for Next-Generation Multicarrier Communication Systems: Challenges, Comparative Analysis, and Future Prospects. - Shivani Singh; Sushant Kumar; Sudhan Majhi; Udit Satija; Chau Yuen (IEEE Commun. Surv. Tutorials, 2025)

Pathological Speech and Electroglottography Signals Analysis Using Invariance Scattering Network. - Deepak Kumar; Udit Satija; Preetam Kumar (Circuits Syst. Signal Process., 2025)

CNN-RAGNet Architecture for CFO Estimation in RIS-Assisted MIMO-OFDM Systems. - Shivani Singh; Sudhan Majhi; Udit Satija (IEEE Commun. Lett., 2025)

Optimized EEG Multi-Noise Removal and Compression: Deploying a PbP-QLP Enhanced Autoencoder on STM32 Microcontroller. - Deepak Kumar; Udit Satija (IEEE Trans. Consumer Electron., 2025)