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This book gives an introduction to the discrete wavelet transform and some of its applications. It is based on a novel approach to discrete wavelets called lifting. The first part is a completely elementary introduction to the subject, and the prerequisites for this part are knowledge of basic calculus and linear algebra. The second part requires some knowledge of Fourier series and digital signal analysis. The connections between lifting and filter theory are presented and the wavelet packet transforms are defined. The time-frequency plane is used for interpretation of signals.

The problems with finite length signals are treated in detail. MATLAB is used as the computational environment for examples and implementation of transforms. The book is well suited for undergraduate mathematics and electrical engineering students and engineers in industry.

Rating: (not yet rated) Subjects • • • • More like this •. Find more information about: ISBN: 006416623 OCLC Number: 840292272 Description: 1 online resource (IX, 246 pages) Contents: 1. Introduction -- 2. Virtua tennis 2009 pc crack. A First Example -- 3. Iptv plejlist m3u ardinvest download. The Discrete Wavelet Transform via Lifting -- 4.

Analysis of Synthetic Signals -- 5. Interpretation -- 6. Two Dimensional Transforms -- 7.

Lifting and Filters I -- 8. Wavelets Packets -- 9. The Time-Frequency Plane -- 10. Finite Signals -- 11. Implementation -- 12. Lifting and Filters II -- 13.

Wavelets in Matlab -- 14. Applications and Outlook -- References -- Index. Responsibility: by Arne Jensen, Anders Cour-Harbo. From the reviews:'This book is a very well-written introduction to discrete wavelet transforms, very convenient for students in electrical engineering, computer science, and applied mathematics.

It is based on the lifting approach to discrete wavelet transforms. MATLAB is used as the computational environment for examples and implementations of discrete wavelet transforms.' (Manfred Tasche, Zentralblatt MATH, Vol. 989 (14), 2002)'This is an algorithm based, completely elementary introduction to the discrete wavelet transform (DWT) and wavelet packet transform, easy to read and easy to understand, well suited for an introductory course on wavelets for undergraduate students of applied sciences or mathematics. Implementations and examples using basic Matlab (TM) as well as the public domain ubi-wave wavelet toolbox help to further a deeper understanding of the algorithms.' Cenker, Internationale Mathematische Nachrichten, Vol.