Title :
Low SNR signal time-frequency analyzing method
Author :
Zhou, Ming ; Yang, Huabing ; Zhu, Jingli ; Shi, Juntao
Author_Institution :
Sch. of Inf. Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
Signal time-frequency analysis under low signal-to-noise ratio (SNR) conditions is an important part of signal processing. As Wigner-Ville distribution (WVD) transformation can save all the traits of the original signal in the special space where the frequency is zero, a new method is proposed to extract the signal time-frequency relationship under low SNR conditions and to estimate the extent to improve the SNR after the denoising processing. Through signal time-frequency extracting comparison and parameter extracting comparison, it is proved that this method has higher extraction validity and feasibility.
Keywords :
Wigner distribution; signal processing; time-frequency analysis; WVD transformation; Wigner-Ville distribution; low SNR condition; signal processing; signal time-frequency analyzing method; signal-to-noise ratio; Accuracy; Estimation; Frequency estimation; Frequency modulation; Noise reduction; Signal to noise ratio; Time frequency analysis; WVD; low SNR; parameter estimation; time-frequency analyzing;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2011 International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-1-61284-879-2
DOI :
10.1109/IASP.2011.6108990
