DocumentCode :
3247043
Title :
Noise Enhanced Signal Detection and Estimation
Author :
Chen, Hao ; Varshney, Pramod K. ; Michels, James H.
Author_Institution :
Syracuse Univ., Syracuse
fYear :
2007
fDate :
4-7 Nov. 2007
Firstpage :
701
Lastpage :
705
Abstract :
Noise is traditionally defined as an unwanted signal or disturbance to the system. In general, more noise in the system often leads to a worse system performance, e.g., less channel capacity, worse detection performance and degraded estimation accuracy. However, noise may play a constructive role in some systems. The phenomenon of noise enhanced system (PHONES) is observed and employed in many areas. In this paper, PHONES is investigated for some signal processing systems including detection and estimation. The mathematical framework to analyze PHONES is established and the optimum noise pdf is found. Some illustrative examples are also presented.
Keywords :
nonlinear estimation; parameter estimation; signal denoising; signal detection; noise enhanced signal detection; signal estimation; Bayesian methods; Detectors; Frequency estimation; Gaussian noise; Nonlinear systems; Quantization; Signal detection; Signal processing algorithms; Stochastic resonance; Strontium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-2109-1
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2007.4487305
Filename :
4487305
Link To Document :
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