Some results on Stochastic Resonance in one-bit quantizers

Farzad Talebi; Vahid TabatabaVakili; Mehdi Adibi

doi:10.1109/ICSPC.2007.4728322

Some results on Stochastic Resonance in one-bit quantizers

Farzad Talebi, Vahid TabatabaVakili, Mehdi Adibi

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-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 language	English
Title of host publication	ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications
Pages	329-331
Number of pages	3
DOIs	https://doi.org/10.1109/ICSPC.2007.4728322
Publication status	Published - 2007
Externally published	Yes
Event	IEEE International Conference on Signal Processing and Communications, ICSPC 2007 - Dubai, United Arab Emirates Duration: 14 Nov 2007 → 27 Nov 2007

Conference

Conference	IEEE International Conference on Signal Processing and Communications, ICSPC 2007
Abbreviated title	ICSPC 2007
Country/Territory	United Arab Emirates
City	Dubai
Period	14/11/07 → 27/11/07

Keywords

Fisher Information
One-bit quantizers
Stochastic Thresholding
Weibull distribution

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10.1109/ICSPC.2007.4728322

Cite this

@inproceedings{7309109ba7e749be9e4aeba7f9d45258,

title = "Some results on Stochastic Resonance in one-bit quantizers",

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.",

keywords = "Fisher Information, One-bit quantizers, Stochastic Thresholding, Weibull distribution",

author = "Farzad Talebi and Vahid TabatabaVakili and Mehdi Adibi",

note = "Copyright: Copyright 2009 Elsevier B.V., All rights reserved.; IEEE International Conference on Signal Processing and Communications, ICSPC 2007, ICSPC 2007 ; Conference date: 14-11-2007 Through 27-11-2007",

year = "2007",

doi = "10.1109/ICSPC.2007.4728322",

language = "English",

isbn = "9781424412365",

pages = "329--331",

booktitle = "ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications",

}

Talebi, F, TabatabaVakili, V & Adibi, M 2007, Some results on Stochastic Resonance in one-bit quantizers. in ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications. pp. 329-331, IEEE International Conference on Signal Processing and Communications, ICSPC 2007, Dubai, United Arab Emirates, 14/11/07. https://doi.org/10.1109/ICSPC.2007.4728322

TY - GEN

T1 - Some results on Stochastic Resonance in one-bit quantizers

AU - Talebi, Farzad

AU - TabatabaVakili, Vahid

AU - Adibi, Mehdi

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - Fisher Information

KW - One-bit quantizers

KW - Stochastic Thresholding

KW - Weibull distribution

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U2 - 10.1109/ICSPC.2007.4728322

DO - 10.1109/ICSPC.2007.4728322

M3 - Conference Paper

AN - SCOPUS:60349104329

SN - 9781424412365

SP - 329

EP - 331

BT - ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications

T2 - IEEE International Conference on Signal Processing and Communications, ICSPC 2007

Y2 - 14 November 2007 through 27 November 2007

ER -

Some results on Stochastic Resonance in one-bit quantizers

Abstract

Conference

Keywords

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