Articoli correlati a Computational Signal Processes with Wavelets
Sinossi
This resource examines both theoretical and practical aspects of computational signal processing using wavelets. Computationally, wavelet signal processing algorithms are presented and applied to signal compression, noise supression, and signal identification. Numerical illustrations of these computational techniques are further discussed in the text (using MATLAB) and the software M-Files are available via the World Wide Web site for the book. Starting from basic principles of signal representation with atomic functions, a mathematically well-founded theory of the discretization of analogue signals is developed. General families are specialized to wavelet families, with discrete representation specialized to generally non-orthogonal wavelet transforms. The theory leads naturally to the computer implementation of the non-orthagonal wavelet transform. Specific topics covered include general signal representation, continuous wavelet transform, multi-resolution analysis, continuous wavelet transform, non-orthagonal wavelet transform, and wavelet based signal processing algorithms for compression, noise supression, and identification. The technical discussion is at the begninning graduate level and is accessible to all signal processing professionals and practitioners.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
- EditoreBirkhauser Verlag AG
- Data di pubblicazione1998
- ISBN 10 3764339098
- ISBN 13 9783764339098
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine324
(nessuna copia disponibile)
Cerca: Inserisci un desiderataNon riesci a trovare il libro che stai cercando? Continueremo a cercarlo per te. Se uno dei nostri librai lo aggiunge ad AbeBooks, ti invieremo una notifica!
Inserisci un desiderata
