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Titlebook: Mathematical Transformations and Wavelet Filters for Source Coding and Signal Processing Systems; William A. Pearlman Book 2023 The Editor

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發(fā)表于 2025-3-21 19:52:57 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Mathematical Transformations and Wavelet Filters for Source Coding and Signal Processing Systems
編輯William A. Pearlman
視頻videohttp://file.papertrans.cn/627/626670/626670.mp4
概述Teaches the fundamentals and mathematical formulas of reversible transformations, as well as their applications.Highlights the wavelet transformation, which is the preferred transform for many practic
叢書名稱Synthesis Lectures on Signal Processing
圖書封面Titlebook: Mathematical Transformations and Wavelet Filters for Source Coding and Signal Processing Systems; William A. Pearlman Book 2023 The Editor
描述.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 theirapplications.Highlights the wavelet transformation, which is the preferred transform for many practical applications.Contains insight gained through research and practice, making it a valuable resource those interested in the topic..
出版日期Book 2023
關鍵詞Mathematical Transforms; Transform Coding; Wavelet Transforms; Signal Processing; Suboptimal Transforms;
版次1
doihttps://doi.org/10.1007/978-3-031-34684-2
isbn_softcover978-3-031-34686-6
isbn_ebook978-3-031-34684-2Series ISSN 1932-1236 Series E-ISSN 1932-1694
issn_series 1932-1236
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Introduction,ciency of digital processing in signal estimation and restoration, and substantially reduce transmission rate and storage requirements. This introductory chapter describes the methodology that is invoked to realize these benefits of mathematical transformations.
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Suboptimal Transforms,or their execution. Instead, one almost always uses a source-independent transform with a fast execution algorithm. We present several useful sub-optimal transforms and calculate coding gains of two of them.
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e distastefully dismisses as “modernity.”. Because Nietzsche found modern weakness and emasculation too horrifying to own and affirm, he could not value or affirm the very age that gave him life, and to which he is necessarily indebted as the enabling condition of his own existence. That Nietzsche r
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William A. Pearlmanase, the West, and the major portion of its historical existence—in which human beings exhibit particularly weakened and diseased practices of life. Nietzsche writes perpetually about this modernity, taking aim at its weaknesses, its hubris, and, in particular, its .. Positioning himself as its cult
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