Wavelet analysis

被引：61

作者：

Bruce, A

Donoho, D

Gao, HY

机构：

[1] STANFORD UNIV, STANFORD, CA 94305 USA

[2] UNIV CALIF BERKELEY, BERKELEY, CA 94720 USA

来源：

IEEE SPECTRUM | 1996年 / 33卷 / 10期

关键词：

D O I：

10.1109/6.540087

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Presented is a new form of signal analysis, which uses localized waveforms rather than infinite sinusoids, and is proving to be far more efficient than Fourier analysis whenever a signal is dominated by transient behavior of discontinuities. Software toolkits for workstations and PCs now help engineers compress digital signals and images, remove noise, and speed upon fundamental algorithms.

引用

页码：26 / 35

页数：10

共 10 条

[1]

AMEODO A, 1995, MULTIFRACTALES TURBU

[2]

Hubbard BB., 2020, WORLD ACCORDING WAVE, DOI [10.1201/9781439864555-24, DOI 10.1201/9781439864555-24]

[3]

Martin V., 1995, WAVELETS SUBBAND COD

[4]

Meyer Y., 1993, WAVELETS ALGORITHMS

[5]

PENG H, 1991, IEEE SPECTRUM OCT, P16

[6] Wavelets and signal processing [J].

Rioul, Olivier ;

Vetterli, Martin .

IEEE SIGNAL PROCESSING MAGAZINE, 1991, 8 (04) :14-38

[7]

Wickerhauser V. M., 1994, ADAPTED WAVELET ANAL

[8]

1996, IEEE P APR

[9]

1992, IEEE T INFORMATI MAR

[10]

1993, IEEE T SIGNAL PR DEC

← 1 →