Udit Satija
Orcid: 0000-0002-3851-765X
According to our database1,
Udit Satija
authored at least 27 papers
between 2015 and 2024.
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Bibliography
2024
Pulmo-TS2ONN: A Novel Triple Scale Self Operational Neural Network for Pulmonary Disorder Detection Using Respiratory Sounds.
IEEE Trans. Instrum. Meas., 2024
IEEE Trans. Instrum. Meas., 2024
2023
Residual Stack-Aided Hybrid CNN-LSTM-Based Automatic Modulation Classification for Orthogonal Time-Frequency Space System.
IEEE Commun. Lett., December, 2023
DSCNN-CAU: Deep-Learning-Based Mental Activity Classification for IoT Implementation Toward Portable BCI.
IEEE Internet Things J., May, 2023
RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds.
IEEE Trans. Instrum. Meas., 2023
A Novel Melspectrogram Snippet Representation Learning Framework for Severity Detection of Chronic Obstructive Pulmonary Diseases.
IEEE Trans. Instrum. Meas., 2023
Modulation Classification for Non-orthogonal Multiple Access System using a Modified Residual-CNN.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
Analysis and Classification of Electroglottography Signals for the Detection of Speech Disorders.
Proceedings of the 28th National Conference on Communications, 2023
AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound Classification.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023
2022
A Unified Attentive Cycle-Generative Adversarial Framework for Deriving Electrocardiogram From Seismocardiogram Signal.
IEEE Signal Process. Lett., 2022
Signal Process., 2022
Edge of Medical Things Implementation for Deep Learning-Based Cognitive Task Recognition.
IEEE Internet Things Mag., 2022
Discriminatory Features Based on Wavelet Energy for Effective Analysis of Electroencephalogram During Mental Tasks.
Circuits Syst. Signal Process., 2022
One-dimensional convolutional neural network architecture for classification of mental tasks from electroencephalogram.
Biomed. Signal Process. Control., 2022
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
2020
Wavelet Based Waveform Distortion Measures for Assessment of Denoised EEG Quality With Reference to Noise-Free EEG Signal.
IEEE Signal Process. Lett., 2020
2019
Specific Emitter Identification Based on Variational Mode Decomposition and Spectral Features in Single Hop and Relaying Scenarios.
IEEE Trans. Inf. Forensics Secur., 2019
2018
Automated ECG Noise Detection and Classification System for Unsupervised Healthcare Monitoring.
IEEE J. Biomed. Health Informatics, 2018
Blind Impulse Estimation and Removal Using Sparse Signal Decomposition Framework for OFDM Systems.
Circuits Syst. Signal Process., 2018
2017
A Novel Sparse Classifier for Automatic Modulation Classification using Cyclostationary Features.
Wirel. Pers. Commun., 2017
Cyclostationary Features Based Modulation Classification in Presence of Non Gaussian Noise Using Sparse Signal Decomposition.
Wirel. Pers. Commun., 2017
Real-Time Signal Quality-Aware ECG Telemetry System for IoT-Based Health Care Monitoring.
IEEE Internet Things J., 2017
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017
2016
Instantaneous Mixture Channel Selection for Blind Equalization Using Cumulant Features in MIMO Systems.
Circuits Syst. Signal Process., 2016
Sparse Representation for Blind Spectrum Sensing in Cognitive Radio: A Compressed Sensing Approach.
Circuits Syst. Signal Process., 2016
A unified sparse signal decomposition and reconstruction framework for elimination of muscle artifacts from ECG signal.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Digital modulation classification under non-Gaussian noise using sparse signal decomposition and maximum likelihood.
Proceedings of the Twenty First National Conference on Communications, 2015