Multiple window time-frequency analysis

Metin Bayram; Richard G. Baraniuk

Multiple window time-frequency analysis

Metin Bayram, Richard G. Baraniuk

Houston Methodist

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

62 Scopus citations

Abstract

We propose a robust method for estimating the time-varying spectrum of a non-stationary random process. Our approach extends Thomson's powerful multiple window spectrum estimation scheme to the time-frequency and time-scale planes. The method refines previous extensions of Thomson's method through optimally concentrated window and wavelet functions and a statistical test for extracting chirping line components.

Original language	English
Title of host publication	Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
Place of Publication	Piscataway, NJ, United States
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	173-176
Number of pages	4
State	Published - Jan 1 1996
Event	Proceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Paris, Fr Duration: Jun 18 1996 → Jun 21 1996

Other

Other	Proceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
City	Paris, Fr
Period	6/18/96 → 6/21/96

ASJC Scopus subject areas

General Engineering

Cite this

Bayram, M & Baraniuk, RG 1996, Multiple window time-frequency analysis. in Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis. Institute of Electrical and Electronics Engineers Inc., Piscataway, NJ, United States, pp. 173-176, Proceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, Paris, Fr, 6/18/96.

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title = "Multiple window time-frequency analysis",

abstract = "We propose a robust method for estimating the time-varying spectrum of a non-stationary random process. Our approach extends Thomson's powerful multiple window spectrum estimation scheme to the time-frequency and time-scale planes. The method refines previous extensions of Thomson's method through optimally concentrated window and wavelet functions and a statistical test for extracting chirping line components.",

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AU - Bayram, Metin

AU - Baraniuk, Richard G.

PY - 1996/1/1

Y1 - 1996/1/1

N2 - We propose a robust method for estimating the time-varying spectrum of a non-stationary random process. Our approach extends Thomson's powerful multiple window spectrum estimation scheme to the time-frequency and time-scale planes. The method refines previous extensions of Thomson's method through optimally concentrated window and wavelet functions and a statistical test for extracting chirping line components.

AB - We propose a robust method for estimating the time-varying spectrum of a non-stationary random process. Our approach extends Thomson's powerful multiple window spectrum estimation scheme to the time-frequency and time-scale planes. The method refines previous extensions of Thomson's method through optimally concentrated window and wavelet functions and a statistical test for extracting chirping line components.

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M3 - Conference contribution

AN - SCOPUS:0029701801

SP - 173

EP - 176

BT - Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

PB - Institute of Electrical and Electronics Engineers Inc.

CY - Piscataway, NJ, United States

T2 - Proceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

Y2 - 18 June 1996 through 21 June 1996

ER -

Multiple window time-frequency analysis

Abstract

Other

ASJC Scopus subject areas

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