Udit Satija

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Chronic Obstructive Pulmonary Disease

Top Venues

IEEE Trans. Instrum. Meas.

Circuits Syst. Signal Process.

IEEE Signal Process. Lett.

Wirel. Pers. Commun.

Publications

Sayantika Mandal, G. Pradeep Kumar, Manali Saini, Udit Satija, Yogesh Kumar
A Unified Deep Learning Framework for Smartphone-Enabled ADHD Detection. IEEE Trans. Instrum. Meas. 73 (2024)
Surya Pratap Singh, Arka Roy, Udit Satija
LoRaSONN: A Novel Self-Operational Neural Network Learning Framework for RF-Fingerprint Identification of LoRa Devices. WCNC (2024)
Arka Roy, Udit Satija
A Novel Multi-Head Self-Organized Operational Neural Network Architecture for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Arka Roy, Udit Satija, Saurabh Karmakar
Pulmo-TS2ONN: A Novel Triple Scale Self Operational Neural Network for Pulmonary Disorder Detection Using Respiratory Sounds. IEEE Trans. Instrum. Meas. 73 (2024)
Anand Kumar, Manish, Udit Satija
Residual Stack-Aided Hybrid CNN-LSTM-Based Automatic Modulation Classification for Orthogonal Time-Frequency Space System. IEEE Commun. Lett. 27 (12) (2023)
Ashok Parmar, Kamal M. Captain, Udit Satija, Ankit Chouhan
Modulation Classification for Non-orthogonal Multiple Access System using a Modified Residual-CNN. WCNC (2023)
Manali Saini, Udit Satija, Madhur Deo Upadhayay
DSCNN-CAU: Deep-Learning-Based Mental Activity Classification for IoT Implementation Toward Portable BCI. IEEE Internet Things J. 10 (10) (2023)
Arka Roy, Udit Satija
AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound Classification. MeMeA (2023)
Arka Roy, Udit Satija
A Novel Melspectrogram Snippet Representation Learning Framework for Severity Detection of Chronic Obstructive Pulmonary Diseases. IEEE Trans. Instrum. Meas. 72 (2023)
Deepak Kumar, Udit Satija, Preetam Kumar
Analysis and Classification of Electroglottography Signals for the Detection of Speech Disorders. NCC (2023)
Arka Roy, Udit Satija
AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework for Asthma Classification Using Lung Sounds. INTERSPEECH (2023)
Arka Roy, Udit Satija
RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds. IEEE Trans. Instrum. Meas. 72 (2023)
Neeraj, Udit Satija, Jimson Mathew, Ranjan Kumar Behera
A Unified Attentive Cycle-Generative Adversarial Framework for Deriving Electrocardiogram From Seismocardiogram Signal. IEEE Signal Process. Lett. 29 (2022)
Manali Saini, Deepak Kumar, Udit Satija
Edge of Medical Things Implementation for Deep Learning-Based Cognitive Task Recognition. IEEE Internet Things Mag. 5 (3) (2022)
Madhukant Sharma, Udit Satija
MGDMD: Multi-variate generalized dispersive mode decomposition. Signal Process. 196 (2022)
Naseem Babu, Jyoti Kumari, Jimson Mathew, Udit Satija, Arijit Mondal
Multiclass Categorisation of Respiratory Sound Signals Using Neural Network. BioCAS (2022)
Manali Saini, Udit Satija, Madhur Deo Upadhayay
One-dimensional convolutional neural network architecture for classification of mental tasks from electroencephalogram. Biomed. Signal Process. Control. 74 (2022)
Manali Saini, Udit Satija, Madhur Deo Upadhayay
Discriminatory Features Based on Wavelet Energy for Effective Analysis of Electroencephalogram During Mental Tasks. Circuits Syst. Signal Process. 41 (10) (2022)
Manali Saini, Udit Satija, Madhur Deo Upadhayay
Wavelet Based Waveform Distortion Measures for Assessment of Denoised EEG Quality With Reference to Noise-Free EEG Signal. IEEE Signal Process. Lett. 27 (2020)
Udit Satija, Nikita Trivedi, Gagarin Biswal, Barathram Ramkumar
Specific Emitter Identification Based on Variational Mode Decomposition and Spectral Features in Single Hop and Relaying Scenarios. IEEE Trans. Inf. Forensics Secur. 14 (3) (2019)
Titir Dutta, Udit Satija, Barathram Ramkumar, M. Sabarimalai Manikandan
Blind Impulse Estimation and Removal Using Sparse Signal Decomposition Framework for OFDM Systems. Circuits Syst. Signal Process. 37 (2) (2018)
Udit Satija, Barathram Ramkumar, M. Sabarimalai Manikandan
Automated ECG Noise Detection and Classification System for Unsupervised Healthcare Monitoring. IEEE J. Biomed. Health Informatics 22 (3) (2018)
Priyanka Dey, Nikita Trivedi, Udit Satija, Barathram Ramkumar, M. Sabarimalai Manikandan
Single Channel Blind Source Separation for MISO Communication Systems. VTC Fall (2017)
Udit Satija, Barathram Ramkumar, M. Sabarimalai Manikandan
Real-Time Signal Quality-Aware ECG Telemetry System for IoT-Based Health Care Monitoring. IEEE Internet Things J. 4 (3) (2017)
Udit Satija, Barathram Ramkumar, M. Sabarimalai Manikandan
A Novel Sparse Classifier for Automatic Modulation Classification using Cyclostationary Features. Wirel. Pers. Commun. 96 (3) (2017)
Udit Satija, Madhusmita Mohanty, Barathram Ramkumar
Cyclostationary Features Based Modulation Classification in Presence of Non Gaussian Noise Using Sparse Signal Decomposition. Wirel. Pers. Commun. 96 (4) (2017)
Udit Satija, Barathram Ramkumar, M. Sabarimalai Manikandan
A unified sparse signal decomposition and reconstruction framework for elimination of muscle artifacts from ECG signal. ICASSP (2016)
Parthapratim De, Udit Satija
Sparse Representation for Blind Spectrum Sensing in Cognitive Radio: A Compressed Sensing Approach. Circuits Syst. Signal Process. 35 (12) (2016)
Udit Satija, Barathram Ramkumar
Instantaneous Mixture Channel Selection for Blind Equalization Using Cumulant Features in MIMO Systems. Circuits Syst. Signal Process. 35 (12) (2016)
Madhusmita Mohanty, Udit Satija, Barathram Ramkumar, M. Sabarimalai Manikandan
Digital modulation classification under non-Gaussian noise using sparse signal decomposition and maximum likelihood. NCC (2015)