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Titlebook: Wavelet Basics; Y. T. Chan Book 1995 Kluwer Academic Publishers 1995 Signal.calculus.development.filter.filter design.filters.signal proce

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发表于 2025-3-21 18:51:46 | 显示全部楼层 |阅读模式
书目名称Wavelet Basics
编辑Y. T. Chan
视频video
图书封面Titlebook: Wavelet Basics;  Y. T. Chan Book 1995 Kluwer Academic Publishers 1995 Signal.calculus.development.filter.filter design.filters.signal proce
描述Since the study of wavelets is a relatively new area, much ofthe research coming from mathematicians, most of the literature usesterminology, concepts and proofs that may, at times, be difficult andintimidating for the engineer. ..Wavelet Basics. has therefore been written as an introductorybook for scientists and engineers. The mathematical presentation hasbeen kept simple, the concepts being presented in elaborate detail ina terminology that engineers will find familiar. Difficult ideas areillustrated with examples which will also aid in the development of anintuitive insight. .Chapter 1 reviews the basics of signal transformation and discussesthe concepts of duals and frames. Chapter 2 introduces the wavelettransform, contrasts it with the short-time Fourier transform andclarifies the names of the different types of wavelet transforms.Chapter 3 links multiresolution analysis, orthonormal wavelets and thedesign of digital filters. Chapter 4 gives a .tour d‘horizon. oftopics of current interest: wavelet packets and discrete time wavelettransforms, and concludes with applications in signal processing..
出版日期Book 1995
关键词Signal; calculus; development; filter; filter design; filters; signal processing; wavelets
版次1
doihttps://doi.org/10.1007/978-1-4615-2213-3
isbn_softcover978-1-4613-5929-6
isbn_ebook978-1-4615-2213-3
copyrightKluwer Academic Publishers 1995
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Y. T. ChanJommellis seinerzeit in unzähligen Abschriften verbreitetes Requiem Es-dur (1756) vor. Die Musik der ehemaligen oberschwäbischen Klöster wird von G. Günther in einem Beitrag über den Klosterkomponisten W. Angeber (Rot an der Rot) berücksichtigt, und A. Dürr nimmt sich der Sinfonien des Donaueschinge
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Principles of the Wavelet Transform,The wavelet transform, similar to the STFT, also maps a time function into a two-dimensional function of . and τ (instead of ω and τ). The parameter . is called the scale, it scales a function by compressing or stretching it, and τ is the translation of the wavelet function along the time axis.
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Multiresolution Analysis, Wavelets and Digital Filters,The idea of multiresolution analysis (MRA) is very similar to subband decomposition and coding, where for coding efficiency, a signal is divided into a set of frequency bands [2]. In Figure 3.1, the sequence .(.), . = 0,1,…,. - 1, is bandlimited from 0 to 1.
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Current Topics,The subject of wavelets is developing rapidly and this Chapter attempts to cover some of the more recent research work, not in an in-depth fashion but rather in a quick tour format.
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