Adaptive time-frequency transform for non-stationary signals with nonlinear polynomial frequency variation

L. Gelman

doi:10.1016/j.ymssp.2007.01.005

Adaptive time-frequency transform for non-stationary signals with nonlinear polynomial frequency variation

L. Gelman

Research output: Contribution to journal › Letter › peer-review

13 Citations (Scopus)

Abstract

The Wigner distribution has been widely used [1–9] for processing of chirps, i.e. transient signals with constant frequency speeds (chirp rates). These signals have the linear variation of the instantaneous frequency in time. The Wigner distribution is suitable for the chirps; the distribution ideally follows [2] the linear frequency variation of the signal without amplitude errors.

Original language	English
Pages (from-to)	2684-2687
Number of pages	4
Journal	Mechanical Systems and Signal Processing
Volume	21
Issue number	6
Early online date	4 Feb 2007
DOIs	https://doi.org/10.1016/j.ymssp.2007.01.005
Publication status	Published - 1 Aug 2007
Externally published	Yes

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title = "Adaptive time-frequency transform for non-stationary signals with nonlinear polynomial frequency variation",

abstract = "The Wigner distribution has been widely used [1–9] for processing of chirps, i.e. transient signals with constant frequency speeds (chirp rates). These signals have the linear variation of the instantaneous frequency in time. The Wigner distribution is suitable for the chirps; the distribution ideally follows [2] the linear frequency variation of the signal without amplitude errors.",

keywords = "failure analysis, Condition Monitoring, Rotating machines",

author = "L. Gelman",

year = "2007",

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doi = "10.1016/j.ymssp.2007.01.005",

language = "English",

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AU - Gelman, L.

PY - 2007/8/1

Y1 - 2007/8/1

N2 - The Wigner distribution has been widely used [1–9] for processing of chirps, i.e. transient signals with constant frequency speeds (chirp rates). These signals have the linear variation of the instantaneous frequency in time. The Wigner distribution is suitable for the chirps; the distribution ideally follows [2] the linear frequency variation of the signal without amplitude errors.

AB - The Wigner distribution has been widely used [1–9] for processing of chirps, i.e. transient signals with constant frequency speeds (chirp rates). These signals have the linear variation of the instantaneous frequency in time. The Wigner distribution is suitable for the chirps; the distribution ideally follows [2] the linear frequency variation of the signal without amplitude errors.

KW - failure analysis

KW - Condition Monitoring

KW - Rotating machines

UR - http://www.scopus.com/inward/record.url?scp=34249671218&partnerID=8YFLogxK

U2 - 10.1016/j.ymssp.2007.01.005

DO - 10.1016/j.ymssp.2007.01.005

M3 - Letter

AN - SCOPUS:34249671218

VL - 21

SP - 2684

EP - 2687

JO - Mechanical Systems and Signal Processing

JF - Mechanical Systems and Signal Processing

SN - 0888-3270

IS - 6

ER -

Adaptive time-frequency transform for non-stationary signals with nonlinear polynomial frequency variation

Abstract

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