Signal Processing: An Applied Decomposition Approach
Candy, James Vincent
- 出版商: Wiley
- 出版日期: 2024-10-29
- 售價: $4,710
- 貴賓價: 9.5 折 $4,475
- 語言: 英文
- 頁數: 480
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1394207441
- ISBN-13: 9781394207442
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商品描述
Separate signals from noise with this valuable introduction to signal processing by applied decomposition
The decomposition of complex signals into their sub-signals or individual components is a crucial tool in signal processing. It allows each component of a signal to be analyzed individually and enables the signal to be isolated from noise and processed in full. Decomposition processes have not always been widely adopted due to the difficult underlying mathematics and complex applications. This text simplifies these obstacles.
Signal Processing: An Applied Decomposition Approach demystifies these tools with a model-based perspective. Addressing each major decomposition approach in turn, it offers a mathematically-informed step-by-step analysis of the process by which it breaks a composite signal/system down into its constituent parts. Introducing both fundamental concepts and advanced applications, it is an indispensable addition to any library regarding signal processing.
Signal Processing readers will find:
- Signal decomposition techniques developed from the data-based, spectral-based and model-based perspectives incorporate: statistical approaches (PCA, ICA, Singular Spectrum); spectral approaches (MTM, PHD, MUSIC); and model-based approaches (EXP, LATTICE, SSP)
- In depth discussion of topics includes signal/system estimation and decomposition, time domain and frequency domain techniques, systems theory, modal decompositions, applications and many more
- Numerous figures, examples, and tables illustrating key concepts and algorithms are developed throughout the text
- Includes problem sets, case studies, real-world applications as well as MATLAB notes highlighting applicable commands
Signal Processing is ideal for engineering and scientific professionals, as well as graduate students seeking a focused text on signal/system decomposition with performance metrics and real-world applications.
商品描述(中文翻譯)
將信號與噪音分開，這本關於信號處理的寶貴入門書籍透過應用分解來實現。
將複雜信號分解為其子信號或個別組件是信號處理中的一項關鍵工具。它使得信號的每個組件都能夠單獨分析，並能夠將信號從噪音中隔離並進行全面處理。由於其背後的數學難度和複雜的應用，分解過程並不總是被廣泛採用。本書簡化了這些障礙。
《Signal Processing: An Applied Decomposition Approach》以模型為基礎的視角揭開了這些工具的神秘面紗。逐一探討每種主要的分解方法，提供了一個數學知識豐富的逐步分析過程，該過程將複合信號/系統分解為其組成部分。介紹了基本概念和進階應用，這本書是任何關於信號處理的圖書館中不可或缺的補充。
《Signal Processing》的讀者將會發現：
- 從數據驅動、頻譜驅動和模型驅動的視角發展的信號分解技術，包括：統計方法（PCA、ICA、奇異頻譜）；頻譜方法（MTM、PHD、MUSIC）；以及模型驅動的方法（EXP、LATTICE、SSP）。
- 深入討論的主題包括信號/系統估計與分解、時域和頻域技術、系統理論、模態分解、應用等。
- 本文中發展了大量的圖形、範例和表格，以說明關鍵概念和算法。
- 包含問題集、案例研究、現實世界應用以及強調適用命令的MATLAB註解。
《Signal Processing》非常適合工程和科學專業人士，以及尋求專注於信號/系統分解的研究生，並提供性能指標和現實世界應用的文本。
作者簡介
James Vincent Candy, PhD, is the Chief Scientist for Engineering, a Distinguished Member of the Technical Staff, founder and former Director of the Center for Advanced Signal & Image Sciences (CASIS) at the Lawrence Livermore National Laboratory and an Adjunct Full-Professor at the University of California, Santa Barbara. He received his his BSEE from the University of Cincinnati along with his MSE and PhD in Electrical Engineering from the University of Florida. Dr. Candy is a Life-Fellow of the IEEE and a 25-Year-Fellow of the Acoustical Society of America (ASA). He was elected as a Life Member at the University of Cambridge (Clare Hall College). Dr. Candy has been awarded the Interdisciplinary Helmholtz-Rayleigh Silver Medal in Signal Processing/Underwater Acoustics by the Acoustical Society of America, the IEEE Distinguished Technical Achievement Award for the development of model-based signal processing as well as an elected IEEE Distinguished Lecturer in Oceanic Signal Processing. He also received the R&D100 award for his innovative invention in radiation threat detection. He has published over 250 journal articles, book chapters, and technical reports as well as written six texts in signal processing: Signal Processing: the Model-Based Approach, (McGraw-Hill, 1986), Signal Processing: the Modern Approach, (McGraw-Hill, 1988), Model-Based Signal Processing, (Wiley/IEEE Press, 2006), Bayesian Signal Processing: Classical, Modern and Particle Filtering (Wiley/IEEE Press, 2009), Bayesian Signal Processing: Classical, Modern and Particle Filtering, 2nd Ed. (Wiley/IEEE Press, 2016), and Model-Based Processing: An Applied Subspace Identification Approach (Wiley, 2019).
作者簡介(中文翻譯)
詹姆斯·文森特·坎迪（James Vincent Candy），博士，是工程領域的首席科學家，技術人員的傑出成員，洛倫斯利物莫國家實驗室先進信號與影像科學中心（CASIS）的創始人及前主任，以及加州大學聖巴巴拉分校的兼任全職教授。他在辛辛那提大學獲得電機工程學士學位，並在佛羅里達大學獲得電機工程碩士及博士學位。坎迪博士是IEEE的終身會士，也是美國聲學學會（ASA）的25年會士。他被劍橋大學（克萊爾霍爾學院）選為終身會員。坎迪博士曾獲得美國聲學學會頒發的信號處理/水下聲學跨學科赫爾姆霍茲-雷利銀獎，因其在基於模型的信號處理方面的發展而獲得IEEE傑出技術成就獎，並被選為IEEE海洋信號處理的傑出講者。他還因其在輻射威脅檢測方面的創新發明獲得R&D100獎。他已發表超過250篇期刊文章、書籍章節和技術報告，並撰寫了六本信號處理的專著：《信號處理：基於模型的方法》（McGraw-Hill, 1986）、《信號處理：現代方法》（McGraw-Hill, 1988）、《基於模型的信號處理》（Wiley/IEEE Press, 2006）、《貝葉斯信號處理：經典、現代與粒子濾波》（Wiley/IEEE Press, 2009）、《貝葉斯信號處理：經典、現代與粒子濾波》（第二版，Wiley/IEEE Press, 2016）以及《基於模型的處理：應用子空間識別方法》（Wiley, 2019）。
