Efficient software platform TFSAP 7.1 and Matlab package to compute Time-Frequency Distributions and related Time-Scale methods with extraction of signal characteristics

This article describes the source code used in the TFSAP toolbox (Boashash, 2016). It is extended with additional functions to allow reproducible research as presented in Boashash and Ouelha (in press). These codes can be used for analysis and classification to (1) generate Time-Frequencydistributions (TFDs) or Time-Scale distributions (TSDs), (2) extract efficient features for change detection and (3) select the most relevant features using different techniques (Boashash and Ouelha, 2016). The code can be downloaded from: https://github.com/ElsevierSoftwareX/SOFTX-D-17-00059.

[1]  Boualem Boashash,et al.  A robust high-resolution time-frequency representation based on the local optimization of the short-time fractional Fourier transform , 2017, Digit. Signal Process..

[2]  Boualem Boashash,et al.  The cross Wigner-Ville distribution-a two dimensional analysis method for the processing of Vibroseis seismic signals , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[3]  Boualem Boashash,et al.  Estimating and interpreting the instantaneous frequency of a signal. II. A/lgorithms and applications , 1992, Proc. IEEE.

[4]  Raheel Nawaz,et al.  Robust seizure detection in EEG using 2D DWT of time-frequency distributions , 2016 .

[5]  Boualem Boashash,et al.  Fast and memory-efficient algorithms for computing quadratic time–frequency distributions , 2013 .

[6]  Boualem Boashash,et al.  Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study , 2016, Knowl. Based Syst..

[7]  John M. O'Toole,et al.  Time-Frequency Processing of Nonstationary Signals: Advanced TFD Design to Aid Diagnosis with Highlights from Medical Applications , 2013, IEEE Signal Processing Magazine.

[8]  Boualem Boashash,et al.  Designing high-resolution time-frequency and time-scale distributions for the analysis and classification of non-stationary signals: a tutorial review with a comparison of features performance , 2017, Digit. Signal Process..

[9]  Boualem Boashash,et al.  An Improved Design of High-Resolution Quadratic Time–Frequency Distributions for the Analysis of Nonstationary Multicomponent Signals Using Directional Compact Kernels , 2017, IEEE Transactions on Signal Processing.

[10]  Boualem Boashash,et al.  Analytic signal generation-tips and traps , 1994, IEEE Trans. Signal Process..

[11]  Boualem Boashash,et al.  Algorithms for Time-Frequency Signal Analysis , 1992 .

[12]  Boualem Boashash,et al.  An efficient real-time implementation of the Wigner-Ville distribution , 1987, IEEE Trans. Acoust. Speech Signal Process..