Pushpendra Singh

Publications

• https://scholar.google.com/citations?user=ktYmzQwAAAAJ&hl=en
• An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique
• Some studies on nonpolynomial interpolation and error analysis
• Frequency estimation of a sinusoidal signal
• Discussion of “An orthogonal Hilbert-Huang transform and its application in the spectral representation of earthquake accelerograms” by Tian-Li Huang, Meng-Lin Lou, Hua-Peng Chen, Ning-Bo Wanga [Soil Dyn. Earthq. Eng. 104 (2018), 378–389]
• The Hilbert spectrum and the Energy Preserving Empirical Mode Decomposition
• CLASSIFICATION OF FOCAL AND NONFOCAL EEG SIGNALS USING FEATURES DERIVED FROM FOURIER-BASED RHYTHMS
• Studies on Generalized Fourier Representations and Phase Transforms
• Novel Fourier Quadrature Transforms and Analytic Signal Representations for Nonlinear and Non-stationary Time Series Analysis
• LINOEP vectors, spiral of Theodorus, and nonlinear time-invariant system models of mode decomposition
• Fourier-Based Feature Extraction for Classification of EEG Signals Using EEG Rhythms
• Filter performance of reduced sized defect photonic crystals based on single‐negative materials
• Time-Frequency analysis via the Fourier Representation
• Time delays and angles of arrival estimation using known signals
• Nonpolynomial spline based Empirical Mode Decomposition
• Wavelength selective switching application of one dimensional defect photonic crystal
• An efficient ML frequency estimation of a sinusoid using the Secant method
• Baseline Wander and Power-Line Interference Removal from ECG Signals Using Fourier Decomposition Method
• Modeling and prediction of COVID-19 pandemic using Gaussian mixture model
• Novel Generalized Fourier Representations and Phase Transforms
• The Taylor's nonpolynomial series approximation
• The Linearly Independent Non Orthogonal yet Energy Preserving (LINOEP) vectors
• Some studies on a generalized Fourier expansion for nonlinear and nonstationary time series analysis, PhD thesis, Department of Electrical Engineering, IIT Delhi, India, 2016
• Some studies on multidimensional Fourier theory for Hilbert transform, analytic signal and space-time series analysis
• Some Studies on Multidimensional Fourier Theory for Hilbert Transform, Analytic Signal and AM–FM Representation
• Automated detection of COVID-19 from CT scan using convolutional neural network
• An Improved Data Driven Dynamic SIRD Model for Predictive Monitoring of COVID-19
• Efficient detection of myocardial infarction from single lead ECG signal
• Hand movement recognition from sEMG signals using Fourier decomposition method
• An efficient method for identification of epileptic seizures from EEG signals using Fourier analysis
• A Novel Signal Modeling Approach for Classification of Seizure and Seizure-Free EEG Signals
• Breaking the Limits: Redefining the Instantaneous Frequency
• Generalized SIR (GSIR) epidemic model: An improved framework for the predictive monitoring of COVID-19 pandemic
• On the approximate discrete KLT of fractional Brownian motion and applications
• Novel Fourier quadrature transforms and analytic signal representations for nonlinear and non-stationary time-series analysis
• Proper Definitions and Demonstration of Dirichlet Conditions
• On the hypercomplex numbers of all finite dimensions: Beyond quaternions and octonians
• The Generalized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and Z Transforms
• Detection of apnea events from ECG segments using Fourier decomposition method
• A novel approach for automated alcoholism detection using Fourier decomposition method
• The Fourier decomposition method for nonlinear and non-stationary time series analysis
• AF-MNS: A Novel AM-FM Based Measure of Non-Stationarity
• Classification of Epileptic Seizure in EEG Signal Using Support Vector Machine and EMD
• General Parameterized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and Z Transforms
• COVID-19 image classification using deep learning: Advances, challenges and opportunities
• A comparative study for predictive monitoring of COVID-19 pandemic
• A multi-modal assessment of sleep stages using adaptive Fourier decomposition and machine learning
• Adaptive CNN filter pruning using global importance metric
• An automated detection of atrial fibrillation from single‑lead ECG using HRV features and machine learning
• Instantaneous Fundamental Frequency Estimation from Speech using Fourier Decomposition Method
• Biometric Identification from ECG Signals using Fourier Decomposition and Machine Learning
• Proper Definitions of Dirichlet Conditions and Convergence of Fourier Representations [Lecture Notes]
• A Novel PRFB Decomposition for Nonstationary Time Series and Image Analysis
• Ambient Fine Particulate Matter and COVID-19 in India
• On the Fourier Representations and Schwartz Distributions
• A novel PRFB decomposition for non-stationary time-series and image analysis
• An Efficient Classification of Focal and Non-Focal EEG Signals Using Adaptive DCT Filter Bank