Time delays and angles of arrival estimation using known signals. - Pushpendra Singh 002; Pradip Sircar (Signal Image Video Process., 2012)

Some studies on nonpolynomial interpolation and error analysis. - Pushpendra Singh 002; Shiv Dutt Joshi; Rakesh Kumar Patney; Kaushik Saha (Appl. Math. Comput., 2014)

LINOEP vectors, spiral of Theodorus, and nonlinear time-invariant system models of mode decomposition. - Pushpendra Singh 002 (CoRR, 2015)

Some studies on multidimensional Fourier theory for Hilbert transform, analytic signal and space-time series analysis. - Pushpendra Singh 002; Shiv Dutt Joshi (CoRR, 2015)

The Fourier Decomposition Method for nonlinear and nonstationary time series analysis. - Pushpendra Singh 002; Shiv Dutt Joshi; Rakesh Kumar Patney; Kaushik Saha (CoRR, 2015)

The Hilbert spectrum and the Energy Preserving Empirical Mode Decomposition. - Pushpendra Singh 002; Shiv Dutt Joshi; Rakesh Kumar Patney; Kaushik Saha (CoRR, 2015)

Time-Frequency analysis via the Fourier Representation. - Pushpendra Singh 002 (CoRR, 2016)

Fourier-Based Feature Extraction for Classification of EEG Signals Using EEG Rhythms. - Pushpendra Singh 002; Shiv Dutt Joshi; Rakesh Kumar Patney; Kaushik Saha (Circuits Syst. Signal Process., 2016)

An efficient ML frequency estimation of a sinusoid using the Secant method. - Pushpendra Singh 002; Amit Singhal 002; Shiv Dutt Joshi (ANTS, 2017)

Time-Frequency Analysis of Gravitational Waves. - Pushpendra Singh 002; Amit Singhal 002; Shiv Dutt Joshi (SPCOM, 2018)

Novel Fourier Quadrature Transforms and Analytic Signal Representations for Nonlinear and Non-stationary Time Series Analysis. - Pushpendra Singh 002 (CoRR, 2018)

Breaking the Limits: Redefining the Instantaneous Frequency. - Pushpendra Singh 002 (Circuits Syst. Signal Process., 2018)

On the approximate discrete KLT of fractional Brownian motion and applications. - Anubha Gupta; Shiv Dutt Joshi; Pushpendra Singh 002 (J. Frankl. Inst., 2018)

Some Studies on Multidimensional Fourier Theory for Hilbert Transform, Analytic Signal and AM-FM Representation. - Pushpendra Singh 002; Shiv Dutt Joshi (Circuits Syst. Signal Process., 2019)

Detection of apnea events from ECG segments using Fourier decomposition method. - Binish Fatimah; Pushpendra Singh 002; Amit Singhal 002; Ram Bilas Pachori (Biomed. Signal Process. Control., 2020)

An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique. - Amit Singhal 002; Pushpendra Singh 002; Binish Fatimah; Ram Bilas Pachori (Biomed. Signal Process. Control., 2020)

Novel generalized Fourier representations and phase transforms. - Pushpendra Singh 002 (Digit. Signal Process., 2020)

An Improved Data Driven Dynamic SIRD Model for Predictive Monitoring of COVID-19. - Pushpendra Singh 002; Amit Singhal 002; Binish Fatimah; Anubha Gupta (ICASSP, 2021)

Efficient detection of myocardial infarction from single lead ECG signal. - Binish Fatimah; Pushpendra Singh 002; Amit Singhal 002; Dipro Pramanick; Pranav Shivashankaran; Ram Bilas Pachori (Biomed. Signal Process. Control., 2021)

The Generalized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and Z Transforms. - Pushpendra Singh 002; Anubha Gupta; Shiv Dutt Joshi (CoRR, 2021)

AF-MNS: A Novel AM-FM Based Measure of Non-Stationarity. - Pushpendra Singh 002; Amit Singhal 002; Binish Fatimah; Anubha Gupta; Shiv Dutt Joshi (IEEE Commun. Lett., 2021)

Instantaneous Fundamental Frequency Estimation from Speech using Fourier Decomposition Method. - Pushpendra Singh 002; Amit Singhal 002; Binish Fatimah (SPCOM, 2022)

A comparative study for predictive monitoring of COVID-19 pandemic. - Binish Fatimah; Priya Aggarwal; Pushpendra Singh 002; Anubha Gupta (Appl. Soft Comput., 2022)

COVID-19 image classification using deep learning: Advances, challenges and opportunities. - Priya Aggarwal; Narendra Kumar Mishra; Binish Fatimah; Pushpendra Singh 002; Anubha Gupta; Shiv Dutt Joshi (Comput. Biol. Medicine, 2022)

A multi-modal assessment of sleep stages using adaptive Fourier decomposition and machine learning. - Binish Fatimah; Amit Singhal 002; Pushpendra Singh 002 (Comput. Biol. Medicine, 2022)

Adaptive CNN filter pruning using global importance metric. - Milton Mondal; Bishshoy Das; Sumantra Dutta Roy; Pushpendra Singh 002; Brejesh Lall; Shiv Dutt Joshi (Comput. Vis. Image Underst., 2022)

Proper Definitions of Dirichlet Conditions and Convergence of Fourier Representations [Lecture Notes]. - Pushpendra Singh 002; Amit Singhal 002; Binish Fatimah; Anubha Gupta; Shiv Dutt Joshi (IEEE Signal Process. Mag., 2022)

Biometric Identification From ECG Signals Using Fourier Decomposition and Machine Learning. - Binish Fatimah; Pushpendra Singh 002; Amit Singhal 002; Ram Bilas Pachori (IEEE Trans. Instrum. Meas., 2022)

General Parameterized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and $Z$ Transforms. - Pushpendra Singh 002; Anubha Gupta; Shiv Dutt Joshi (IEEE Trans. Signal Process., 2022)

A novel PRFB decomposition for non-stationary time-series and image analysis. - Pushpendra Singh 002; Amit Singhal 002; Binish Fatimah; Anubha Gupta (Signal Process., 2023)

An Efficient Classification of Focal and Non-Focal EEG Signals Using Adaptive DCT Filter Bank. - Virender Kumar Mehla; Amit Singhal 002; Pushpendra Singh 002 (Circuits Syst. Signal Process., 2023)

Feature independent Filter Pruning by Successive Layers analysis. - Milton Mondal; Bishshoy Das; Brejesh Lall; Pushpendra Singh 002; Sumantra Dutta Roy; Shiv Dutt Joshi (Comput. Vis. Image Underst., 2023)

Unified framework for linear scale invariant signals, systems, and transforms: A tutorial. - Anubha Gupta; Pushpendra Singh 002; Priya Aggarwal; Shiv Dutt Joshi (Digit. Signal Process., 2025)