Title :
Detection of signals in noise based on wavelet transform
Author :
Shiqing, Wang ; Keming, Sheng ; Guoping, Mao
Author_Institution :
Southwest Jiaotong Univ., Chengdu, China
Abstract :
Wavelet analysis is a multiresolution analysis, whose elements have good localization properties in both the spatial and Fourier domains. For different frequencies it has a changeable time-frequency window, so the detector based on wavelet transform is robust. In this paper the detection of signals in noise is discussed and a concept of multiresolution likelihood ratio is put out
Keywords :
signal detection; signal resolution; time-frequency analysis; wavelet transforms; Fourier domain; changeable time-frequency window; localization properties; multiresolution analysis; multiresolution likelihood ratio; signal detection; spatial domain; wavelet transform; Detectors; Multiresolution analysis; Noise robustness; Signal detection; Signal to noise ratio; Spatial resolution; Time frequency analysis; Wavelet analysis; Wavelet domain; Wavelet transforms;
Conference_Titel :
Microwave and Millimeter Wave Technology Proceedings, 1998. ICMMT '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4308-5
DOI :
10.1109/ICMMT.1998.768336
