Discrete Time-Frequency Signal Analysis and Processing Techniques for Non-Stationary Signals  

作　　者：S. Sivakumar D. Nedumaran 

机构地区：[1]P.G. and Research Department of Electronics, Government Arts College, Paramakudi, Tamilnadu, India [2]Central Instrumentation and Service Laboratory, University of Madras, Guindy Campus, Chennai, India

出　　处：《Journal of Applied Mathematics and Physics》2018年第9期1916-1927,共12页应用数学与应用物理（英文）

摘　　要：This paper presents the methodology, properties and processing of the time-frequency techniques for non-stationary signals, which are frequently used in biomedical, communication and image processing fields. Two classes of time-frequency analysis techniques are chosen for this study. One is short-time Fourier Transform (STFT) technique from linear time-frequency analysis and the other is the Wigner-Ville Distribution (WVD) from Quadratic time-frequency analysis technique. Algorithms for both these techniques are developed and implemented on non-stationary signals for spectrum analysis. The results of this study revealed that the WVD and its classes are most suitable for time-frequency analysis.This paper presents the methodology, properties and processing of the time-frequency techniques for non-stationary signals, which are frequently used in biomedical, communication and image processing fields. Two classes of time-frequency analysis techniques are chosen for this study. One is short-time Fourier Transform (STFT) technique from linear time-frequency analysis and the other is the Wigner-Ville Distribution (WVD) from Quadratic time-frequency analysis technique. Algorithms for both these techniques are developed and implemented on non-stationary signals for spectrum analysis. The results of this study revealed that the WVD and its classes are most suitable for time-frequency analysis.

关 键 词：NON-STATIONARY Signal SHORT TERM FOURIER TRANSFORM WIGNER Ville Distribution Algorithm 

分 类 号：TN91[电子电信—通信与信息系统]