Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2495
Title: Biological signal processing based on time-frequency distribution analysis
Authors: Yu, Renjun
Keywords: DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Issue Date: 2007
Source: Yu, R. J. (2007). Biological signal processing based on time-frequency distribution analysis. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: The main objective here is to use the time-frequency techniques for the analysis of biomolecular sequences. The mathematical definitions of Cohen's class time-frequency distributions (CTFDs) are firstly reviewed. Some other useful time-frequency distributions (TFDs), such as the Short-time Fourier Transform (STFT), the wavelet transform (WT), the Choi-Williams Distribution (CWVD), the Wigner-Ville Distribution (WVD), the Smoothed Pseudo Wigner-Ville Distribution (SPWVD) and the Reassigned Smoothed Pseudo Wigner-Ville Distribution (RSPWVD), are introduced. Their performance in revealing the information of different types of signals and computational cost are evaluated. Among them the reassigned and smoothed TFDs (RSTFDs), such as the RSPWVD, can achieve a very satisfying compromise between the sharpness and the ‘cleanness’ (noise removal) measures of spectrum.
URI: https://hdl.handle.net/10356/2495
DOI: 10.32657/10356/2495
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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