Amplitude estimation of a sinusoid buried in heavy noise using stochastic resonance

被引：0
|
作者：
Dasgupta, S [1 ]
Sarkar, S [1 ]
Nair, J [1 ]
机构：
[1] Indian Inst Technol, Kharagpur 721302, W Bengal, India
来源：
Proceedings of the IEEE INDICON 2004 | 2004年
关键词：
expected power; maximum likelihood estimate; noise reconstruction; quantizer; stochastic resonance; transition probability;
D O I：
10.1109/INDICO.2004.1497702
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper Investigates four methods to estimate the amplitude of a sinusold buried in noise, using the phenomenon of stochastic resonance (SR) to obtain the best estimate. SR is a cooperative effect in which the power in the broadband part of the spectrum is fed in to the output power of the signal frequency. We use a 3-level quantizer In our experiments to quantize the sinsoid buried In noise after variance-controlled AWGN is added to It. We estimate the amplitude at the optimum variance; which is obtained from the experimentally obtained SNR data.
引用
收藏
页码：41 / 46
页数：6
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