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作者:

Shi, YH (Shi, YH.) (学者:施云惠) | Ruan, QQ (Ruan, QQ.)

收录:

CPCI-S

摘要:

In this paper, we propose a new type of Continuous wavelet transform. However we discretize variables of integral a and b, any numerical integral has a high resolution, and a does not appear in the denominator of the integrand. Furthermore, we give two discrezitation methods of the new wavelet transform. For the one-dimensional situation, we give quadrature formula of the discretized inverse wavelet transform. For the multi-dimensional situation, we develop the commonly wavelet network based on the discretized inverse wavelet transform of the new wavelet transform. Finally, die numerical examples show that the continuous wavelet transform constructed in this paper has higher computing accuracy, compared with the classical continuous wavelet transform.

关键词:

Fourier transform neural network wavelet frame wavelet transform

作者机构:

  • [ 1 ] Beijing Univ Technol, Coll Comp Sci, Beijing 100022, Peoples R China

通讯作者信息:

  • 施云惠

    [Shi, YH]Beijing Univ Technol, Coll Comp Sci, Beijing 100022, Peoples R China

电子邮件地址:

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来源 :

2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3

年份: 2004

页码: 207-210

语种: 英文

被引次数:

WoS核心集被引频次: 7

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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