Information Theoretic Learning-Based Filter: Algorithms, Analysis and Applications
暫譯: 基於資訊理論學習的濾波器：演算法、分析與應用
Zhao, Haiquan, Hou, Xinyan, Long, Xiaoqiang
- 出版商: Springer
- 出版日期: 2026-09-29
- 售價: $7,030
- 貴賓價: 9.5 折 $6,678
- 語言: 英文
- 頁數: 202
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032296226
- ISBN-13: 9783032296221
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相關分類:
數位訊號處理 Dsp
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相關主題
商品描述
This book provides a comprehensive and in-depth exploration of adaptive filtering algorithms based on the Information Theoretic Learning (ITL). As a powerful alternative to traditional second-order statistical methods, ITL-based adaptive filtering algorithms are particularly effective in dealing with non-Gaussian noise. The book systematically introduces core ITL criteria such as minimum error entropy and maximum correntropy and extends these principles to the field of multidimensional signal processing and nonlinear adaptive filtering, demonstrating their effectiveness through modeling real-world signals like wind speed and temperature. In addition to single-node filtering, this book thoroughly investigates distributed adaptive filtering, addressing collaborative learning across networked systems. It further integrates graph signal processing, allowing for efficient modeling and analysis of signals defined on irregular or structured domains. Together, these contributions showcase ITL as a unified and powerful learning framework, advancing adaptive filtering theory and methodology across linear, nonlinear, distributed, and graph-based signal processing environments.
商品描述(中文翻譯)
本書全面且深入地探討以資訊理論學習（Information Theoretic Learning, ITL）為基礎的適應性濾波演算法。ITL 適應性濾波演算法是傳統二階統計方法的強大替代方案，尤其適合處理非高斯雜訊。本書有系統地介紹最小誤差熵（minimum error entropy）與最大相關熵（maximum correntropy）等核心 ITL 準則，並將這些原則延伸至多維訊號處理與非線性適應性濾波領域，透過風速與溫度等真實世界訊號的建模，展示其實際效能。
除了單節點濾波之外，本書也深入探討分散式適應性濾波，處理網路化系統中的協同學習。此外，本書進一步整合圖訊號處理（graph signal processing），以有效建模與分析定義於非規則或結構化網域上的訊號。這些內容共同展現 ITL 作為統一且強大的學習架構，推進其在線性、非線性、分散式與基於圖的訊號處理環境中的適應性濾波理論與方法。
作者簡介
Haiquan Zhao (Senior Member, IEEE) received the B.S. degree in applied mathematics and the M.S. and Ph.D. degrees in signal and information processing from Southwest Jiaotong University, Chengdu, China, in 1998, 2005, and 2011, respectively. Since 2012, he has been a Professor with the School of Electrical Engineering, Southwest Jiaotong University. From 2015 to 2016, he was a Visiting Scholar with the University of Florida, Gainesville, FL, USA. He is the author or co-author of more than 280 international journal papers (SCI indexed) and owns 56 invention patents. His current research interests include information theoretical learning, adaptive filters, adaptive networks, active noise control, Kalman filters, machine learning, and artificial intelligence. Dr. Zhao has won several provincial and ministerial awards and many best paper awards at international conferences or IEEE Transactions. He has served as an Active Reviewer for several IEEE Transactions, IET series, signal processing, and other international journals. He is currently a Handling Editor of Signal Processing, and also an Associate Editor for IEEE Transaction on Audio, Speech and Language Processing, IEEE Transactions on Systems, Man and Cybernetics: System, IEEE Signal Processing Letters, IEEE Sensors Journal, and IEEE Open Journal of Signal Processing.
Xinyan Hou was born in Gansu, China, in 1995. He received the Ph.D. degree in electrical engineering at Southwest Jiaotong University, Chengdu, China. His research interests include adaptive signal processing and distributed estimation.
Xiaoqiang Long was born in Gansu, China, in 1995. He received the Ph.D. degree with the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China. His research focuses on adaptive signal processing.
作者簡介(中文翻譯)
Haiquan Zhao（IEEE 資深會員）於 1998 年、2005 年及 2011 年分別取得中國成都西南交通大學應用數學學士學位，以及訊號與資訊處理碩士及博士學位。自 2012 年起，任職於西南交通大學電氣工程學院，擔任教授。2015 年至 2016 年間，曾任美國佛羅里達州 Gainesville 的 University of Florida 訪問學者。他已發表或合著超過 280 篇國際期刊論文（收錄於 SCI），並擁有 56 項發明專利。目前的研究興趣包括資訊理論學習、自適應濾波器、自適應網路、主動噪聲控制、Kalman 濾波器、機器學習及人工智慧。Zhao 博士曾獲得多項省級及部級獎項，並多次榮獲國際會議或 IEEE Transactions 的最佳論文獎。他曾擔任多本 IEEE Transactions、IET 系列期刊、Signal Processing 及其他國際期刊的審稿人。目前，他擔任 Signal Processing 的責任編輯（Handling Editor），同時也是 IEEE Transactions on Audio, Speech and Language Processing、IEEE Transactions on Systems, Man and Cybernetics: Systems、IEEE Signal Processing Letters、IEEE Sensors Journal 及 IEEE Open Journal of Signal Processing 的副編輯（Associate Editor）。
Xinyan Hou 於 1995 年出生於中國甘肅。他在中國成都西南交通大學取得電機工程博士學位。研究興趣包括自適應訊號處理及分散式估測。
Xiaoqiang Long 於 1995 年出生於中國甘肅。他在中國成都西南交通大學電氣工程學院取得博士學位。研究重點為自適應訊號處理。
