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Quasi-Linear Transfer Function: A New Method for Frequency Domain Analysis of Nonlinear Systems
A new concept, called quasi-linear transfer functions (QLTF), which can be used to characterize the output frequency behaviour of nonlinear systems, is introduced based on the well-known Volterra series representation.
A Modified Dynamic Time Warping (MDTW) Approach and Innovative Average Non-Self Match Distance (ANSD) Method for Anomaly Detection in ECG Recordings
ECGs objectively reflects the working conditions of the hearts as these signals contain vast physiological and pathological information.
Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives
There have been relatively fewer studies focusing on the investigations of the inherent time-lagged or time-delayed relationships e. g. between the reproduction number (R number), infection cases, and deaths, analyzing the pandemic spread from a systems thinking and dynamic perspective.
Characterising Linear Spatio-Temporal Dynamical Systems in the Frequency Domain
A new concept, called the spatio-temporal transfer function (STTF), is introduced to characterise a class of linear time-invariant (LTI) spatio-temporal dynamical systems.
Singularity and Similarity Detection from Signals Using Wavelet Transform
The wavelet transform and related techniques are used to analyze singular and fractal signals.
A Global to Local Double Embedding Method for Multi-person Pose Estimation
Both of the two types of methods involve two stages, namely, person detection and joints detection.
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis
Decoding EEG signals of different mental states is a challenging task for brain-computer interfaces (BCIs) due to nonstationarity of perceptual decision processes.
