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Mathematical Transformations and Wavelet Filters for Source Coding and Signal Processing Systems



de

Éditeur :

Springer


Collection :

Synthesis Lectures on Signal Processing

Paru le : 2023-07-25



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Description

This book teaches the fundamentals and mathematical formulas of reversible transformations (or transforms) that are used in many source coding and signal processing systems. These mathematical transforms are often necessary or crucial toward reduction of data storage and transmission rate requirements. The author emphasizes the wavelet transform as it is the preferred transform for practical application in many coding and signal processing systems. The book also covers the tap (coefficient) values for some of those filters that satisfy the perfect reconstruction property. Examples of the use of filter-based and matrix-based transforms are also provided. This self-contained work contains insight gained through research and practice, which makes it a valuable reference and tutorial for readers interested in the subject of mathematical transforms.
This book:

Teaches the fundamentals and mathematical formulas of reversible transformations, as well as theirapplicationsHighlights the wavelet transformation, which is the preferred transform for many practical applicationsContains insight gained through research and practice, making it a valuable resource those interested in the topic
Pages
70 pages
Collection
Synthesis Lectures on Signal Processing
Parution
2023-07-25
Marque
Springer
EAN papier
9783031346835
EAN PDF
9783031346842
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
1239 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
47,46 €
EAN EPUB
9783031346842
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
3748 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
47,46 €

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