Some results on Stochastic Resonance in one-bit quantizers

Farzad Talebi, Vahid TabatabaVakili, Mehdi Adibi

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

Stochastic Resonance (SR) is a phenomenon that occurs in certain non-linear systems in which noise can be used to improve the system response [1]. A recent approach to quantizer design has employed Stochastic Resonance by randomizing the threshold of the quantizer (Stochastic Thresholding). Stochastic Thresholding has shown a good performance in detection of weak signals buried in heavy noise even in -50 dB SNR In fact, Stochastic Thresholding helps ML estimation by some Fisher Information gain given in the quantizer. Driven by this motivation, in this paper we obtain new results on Stochastic Resonance in one-bit quantizers. Also, some discussions on threshold Probability Distribution Function (PDF) especially on the relation of the mean and the variance of PDF with a constant signal which we intend to estimate are implemented.

Original languageEnglish
Title of host publicationICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications
Pages329-331
Number of pages3
DOIs
Publication statusPublished - 2007
Externally publishedYes
EventIEEE International Conference on Signal Processing and Communications, ICSPC 2007 - Dubai, United Arab Emirates
Duration: 14 Nov 200727 Nov 2007

Conference

ConferenceIEEE International Conference on Signal Processing and Communications, ICSPC 2007
Abbreviated titleICSPC 2007
CountryUnited Arab Emirates
CityDubai
Period14/11/0727/11/07

Keywords

  • Fisher Information
  • One-bit quantizers
  • Stochastic Thresholding
  • Weibull distribution

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