A wavelet approach to finding steady-state power electronics waveforms using discrete convolution

K.C. Tam; Siu Chung Wong; Chi Kong Tse

A wavelet approach to finding steady-state power electronics waveforms using discrete convolution

K.C. Tam, Siu Chung Wong, Chi Kong Tse

The Hong Kong Polytechnic University

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

Abstract

Due to the switching action and the presence of parasitics, waveforms arising from power electronics circuits often contain high-frequency ringings embedded in slowly varying segments. Such a feature is consistent with the localization property of wavelets which has been exploited for fast approximations of steady-state waveforms. This paper proposes an improved and more robust approach for calculating the wavelet coefficients, exploiting the orthogonality property of the Chebyshev polynomials.

Original language	English
Pages	427-430
Number of pages	4
Publication status	Published - 2004
Event	International Symposium on Nonlinear Theory and Its Applications [NOLTA] - Duration: 1 Jan 2004 → …

Conference

Conference	International Symposium on Nonlinear Theory and Its Applications [NOLTA]
Period	1/01/04 → …

Cite this

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title = "A wavelet approach to finding steady-state power electronics waveforms using discrete convolution",

abstract = "Due to the switching action and the presence of parasitics, waveforms arising from power electronics circuits often contain high-frequency ringings embedded in slowly varying segments. Such a feature is consistent with the localization property of wavelets which has been exploited for fast approximations of steady-state waveforms. This paper proposes an improved and more robust approach for calculating the wavelet coefficients, exploiting the orthogonality property of the Chebyshev polynomials.",

author = "K.C. Tam and Wong, {Siu Chung} and Tse, {Chi Kong}",

year = "2004",

language = "English",

pages = "427--430",

note = "International Symposium on Nonlinear Theory and Its Applications [NOLTA] ; Conference date: 01-01-2004",

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A wavelet approach to finding steady-state power electronics waveforms using discrete convolution. / Tam, K.C.; Wong, Siu Chung; Tse, Chi Kong.
2004. 427-430 Paper presented at International Symposium on Nonlinear Theory and Its Applications [NOLTA].

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

TY - CONF

T1 - A wavelet approach to finding steady-state power electronics waveforms using discrete convolution

AU - Tam, K.C.

AU - Wong, Siu Chung

AU - Tse, Chi Kong

PY - 2004

Y1 - 2004

N2 - Due to the switching action and the presence of parasitics, waveforms arising from power electronics circuits often contain high-frequency ringings embedded in slowly varying segments. Such a feature is consistent with the localization property of wavelets which has been exploited for fast approximations of steady-state waveforms. This paper proposes an improved and more robust approach for calculating the wavelet coefficients, exploiting the orthogonality property of the Chebyshev polynomials.

AB - Due to the switching action and the presence of parasitics, waveforms arising from power electronics circuits often contain high-frequency ringings embedded in slowly varying segments. Such a feature is consistent with the localization property of wavelets which has been exploited for fast approximations of steady-state waveforms. This paper proposes an improved and more robust approach for calculating the wavelet coefficients, exploiting the orthogonality property of the Chebyshev polynomials.

M3 - Conference presentation (not published in journal/proceeding/book)

SP - 427

EP - 430

T2 - International Symposium on Nonlinear Theory and Its Applications [NOLTA]

Y2 - 1 January 2004

ER -

A wavelet approach to finding steady-state power electronics waveforms using discrete convolution

Abstract

Conference

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