On the local GST power spectrum distribution of color noise

Jing Huai Gao; Wei Shi Man; Wen Chao Chen; Shu Min Chen

On the local GST power spectrum distribution of color noise

Jing Huai Gao
, Wei Shi Man
, Wen Chao Chen
, Shu Min Chen

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University
Institute of exploration and exploitation for oil

Research output: Contribution to conference › Paper › peer-review

Abstract

The S transform (ST) and generalized S transform (GST) are new tools for signal processing. In this work, the mean ST and GST power spectrum of white noise are derived, respectively. The results show that both are linear with frequency. And then local GST power spectrum of color noise is investigated by qualitative analysis, it is concluded that the local GST power spectrum follows chi-square distribution with two degree of freedoms. These conclusions are further certified by Monte Carlo method. Based on the above results, a method distinguishing useful signals from noise is proposed in GST domain. The effectiveness of this method is proved by synthetic data.

Original language	English
State	Published - 2004
Event	2004 Society of Exploration Geophysicists Annual Meeting, SEG 2004 - Denver, United States Duration: 10 Oct 2004 → 15 Oct 2004

Conference

Conference	2004 Society of Exploration Geophysicists Annual Meeting, SEG 2004
Country/Territory	United States
City	Denver
Period	10/10/04 → 15/10/04

Cite this

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title = "On the local GST power spectrum distribution of color noise",

abstract = "The S transform (ST) and generalized S transform (GST) are new tools for signal processing. In this work, the mean ST and GST power spectrum of white noise are derived, respectively. The results show that both are linear with frequency. And then local GST power spectrum of color noise is investigated by qualitative analysis, it is concluded that the local GST power spectrum follows chi-square distribution with two degree of freedoms. These conclusions are further certified by Monte Carlo method. Based on the above results, a method distinguishing useful signals from noise is proposed in GST domain. The effectiveness of this method is proved by synthetic data.",

author = "Gao, \{Jing Huai\} and Man, \{Wei Shi\} and Chen, \{Wen Chao\} and Chen, \{Shu Min\}",

note = "Publisher Copyright: {\textcopyright} 2004 SEG Annual Meeting. All rights reserved.; 2004 Society of Exploration Geophysicists Annual Meeting, SEG 2004 ; Conference date: 10-10-2004 Through 15-10-2004",

year = "2004",

language = "英语",

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TY - CONF

T1 - On the local GST power spectrum distribution of color noise

AU - Gao, Jing Huai

AU - Man, Wei Shi

AU - Chen, Wen Chao

AU - Chen, Shu Min

PY - 2004

Y1 - 2004

N2 - The S transform (ST) and generalized S transform (GST) are new tools for signal processing. In this work, the mean ST and GST power spectrum of white noise are derived, respectively. The results show that both are linear with frequency. And then local GST power spectrum of color noise is investigated by qualitative analysis, it is concluded that the local GST power spectrum follows chi-square distribution with two degree of freedoms. These conclusions are further certified by Monte Carlo method. Based on the above results, a method distinguishing useful signals from noise is proposed in GST domain. The effectiveness of this method is proved by synthetic data.

AB - The S transform (ST) and generalized S transform (GST) are new tools for signal processing. In this work, the mean ST and GST power spectrum of white noise are derived, respectively. The results show that both are linear with frequency. And then local GST power spectrum of color noise is investigated by qualitative analysis, it is concluded that the local GST power spectrum follows chi-square distribution with two degree of freedoms. These conclusions are further certified by Monte Carlo method. Based on the above results, a method distinguishing useful signals from noise is proposed in GST domain. The effectiveness of this method is proved by synthetic data.

UR - https://www.scopus.com/pages/publications/85055804842

M3 - 论文

AN - SCOPUS:85055804842

T2 - 2004 Society of Exploration Geophysicists Annual Meeting, SEG 2004

Y2 - 10 October 2004 through 15 October 2004

ER -

On the local GST power spectrum distribution of color noise

Abstract

Conference

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