DocumentCode
2844034
Title
Detection of signals in noise based on wavelet transform
Author
Shiqing, Wang ; Keming, Sheng ; Guoping, Mao
Author_Institution
Southwest Jiaotong Univ., Chengdu, China
fYear
1998
fDate
1998
Firstpage
505
Lastpage
508
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave and Millimeter Wave Technology Proceedings, 1998. ICMMT '98. 1998 International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4308-5
Type
conf
DOI
10.1109/ICMMT.1998.768336
Filename
768336
Link To Document