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

Pearlman, William a.

Mathematical Transformations and Wavelet Filters for Source Coding and Signal Processing Systems
  • 出版商: Springer
  • 出版日期: 2024-08-13
  • 售價: $2,010
  • 貴賓價: 9.5 折 $1,910
  • 語言: 英文
  • 頁數: 70
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031346866
  • ISBN-13: 9783031346866

    • 海外代購書籍(需單獨結帳)

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商品描述

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 their applications
  • 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

商品描述(中文翻譯)

本書教授可逆轉換（或轉換）的基本原理和數學公式，這些轉換在許多源編碼和信號處理系統中被廣泛使用。這些數學轉換通常是減少數據儲存和傳輸速率需求所必需或至關重要的。作者強調小波轉換，因為它是許多編碼和信號處理系統中實際應用的首選轉換。本書還涵蓋了一些滿足完美重建特性的濾波器的抽頭（係數）值。書中也提供了基於濾波器和基於矩陣的轉換的使用範例。這部自成一體的著作包含了通過研究和實踐獲得的見解，使其成為對於對數學轉換主題感興趣的讀者來說，具有價值的參考和教程。

本書：

- 教授可逆轉換的基本原理和數學公式，以及它們的應用
- 突出小波轉換，這是許多實際應用的首選轉換
- 包含通過研究和實踐獲得的見解，使其成為對該主題感興趣的讀者的寶貴資源

作者簡介

William A. Pearlman, Ph.D., is the Founder, President, and Chief Scientific Officer of PrimaComp, Inc. He is also Professor Emeritus in the Electrical, Computer, and Systems Engineering Department at Rensselaer Polytechnic Institute. He is best known as co-inventor of two celebrated image compression algorithms, Set Partitioning in Hierarchical Trees (SPIHT) and Set Partitioning Embedded Block (SPECK) coding. Dr. Pearlman obtained his B.S. and M.S. degrees at MIT and his Ph.D. at Stanford University. He has authored or co-authored more than 250 publications in the fields of image and video compression, information theory, communications theory, and digital signal processing. He is lead author of the textbook, Digital Signal Compression: Principles and Practice, with co-author Amir Said, published by Cambridge University Press. He is also a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and a Fellow of the SPIE- The InternationalSociety for Optical Engineering.

作者簡介(中文翻譯)

威廉·A·珀爾曼（William A. Pearlman），博士，是PrimaComp, Inc.的創辦人、總裁及首席科學官。他同時也是倫斯勒理工學院（Rensselaer Polytechnic Institute）電機、計算機與系統工程系的名譽教授。他最為人知的是共同發明了兩種著名的影像壓縮演算法：層次樹中的集合分割（Set Partitioning in Hierarchical Trees, SPIHT）和集合分割嵌入區塊（Set Partitioning Embedded Block, SPECK）編碼。珀爾曼博士在麻省理工學院（MIT）獲得學士及碩士學位，並在史丹佛大學（Stanford University）獲得博士學位。他在影像與視頻壓縮、資訊理論、通訊理論及數位信號處理等領域發表或共同發表了超過250篇論文。他是教科書《數位信號壓縮：原則與實踐》（Digital Signal Compression: Principles and Practice）的主編，與共同作者阿米爾·賽義德（Amir Said）一起出版，該書由劍橋大學出版社（Cambridge University Press）發行。他也是電氣和電子工程師學會（IEEE）及國際光學工程學會（SPIE）的會士。

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