This book presents the design, analysis, and application of nonlinear adaptive filters with the goal of improving efficient performance (ie the convergence speed, steady-state error, and computational complexity). The authors present a nonlinear adaptive filter, which is an important part of nonlinear system and digital signal processing and can be applied to diverse fields such as communications, control power system, radar sonar, etc. The authors also present an efficient nonlinear filter model and robust adaptive filtering algorithm based on the local cost function of optimal criterion to overcome non-Gaussian noise interference. The authors show how these achievements provide new theories and methods for robust adaptive filtering of nonlinear and non-Gaussian systems. The book is written for the scientist and engineer who are not necessarily an expert in the specific nonlinear filtering field but who want to learn about the current research and application. The book is also written to accompany a graduate/PhD course in the area of nonlinear system and adaptive signal processing.
Haiquan Zhao (IEEE Senior Member) received the B.S. degree in applied mathematics in 1998, the M.S. degree and the Ph.D degree in Signal and Information Processing all at Southwest Jiaotong University, Chengdu, China, in 2005 and 2011, respectively. Since August 2012, he was a Professor with the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China. From 2015 to 2016, as a visiting scholar, he worked at University of Florida, USA. His current research interests include information theoretical learning, neural networks, adaptive network, adaptive filtering algorithm, nonlinear active noise control, nonlinear system identification, power system frequency estimation. At present, he is the author or coauthor of more than 140 international journal papers (SCI indexed), and the owner of 70 invention patents. Prof. Zhao has served as an active reviewer for several IEEE Transactions, IET series, Signal Processing, and other international journals. From August 2017, hewas appointed an Editorial board member of AEU- International Journal of Electronics and Communications. And also appointed an associate editor of IEEE Access from March 2019. At presented, he also was a handling editor of Signal Processing ( Top Journal).Badong Chen (IEEE Senior Member) received the B.S. and M.S. degrees in Control Theory and Engineering from Chongqing University, Chongqing, China, in 1997 and 2003, respectively, and the Ph.D. degree in Computer Science and Technology from Tsinghua University, Beijing, China, in 2008. He was a Postdoctoral Associate at the University of Florida Computational NeuroEngineering Laboratory (CNEL) from 2010 to 2012. He visited the Nanyang Technological University (NTU), Singapore, as a visiting research scientist in 2015. He also served as a senior research fellow with The Hong Kong Polytechnic University in 2017. Currently he is a professor at the Institute of Artificial Intelligence and Robotics (IAIR), Xi'an Jiaotong University, Xi'an, China. His research interests are in signal processing, machine learning, artificial intelligence, neural engineering and robotics. He has published two books and over 200 papers in various journals and conference proceedings and his papers have got over 5700 citations according to Google Scholar. Dr. Chen is an IEEE Senior Member, a Technical Committee Member of IEEE SPS Machine Learning for Signal Processing (MLSP) and IEEE CIS Cognitive and Developmental Systems (CDS), and an associate editor of IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Neural Networks and Learning Systems and Journal of The Franklin Institute, and has been on the editorial board of Entropy.
趙海泉（IEEE 高級會員）於1998年獲得西南交通大學（中國成都）應用數學學士學位，並於2005年和2011年分別獲得信號與信息處理碩士和博士學位。自2012年8月起，他擔任西南交通大學電氣工程學院教授。2015年至2016年間，他作為訪問學者在美國佛羅里達大學工作。他目前的研究興趣包括信息理論學習、神經網絡、自適應網絡、自適應濾波算法、非線性主動噪聲控制、非線性系統識別和電力系統頻率估計。目前，他是140多篇國際期刊論文（SCI 索引）的作者或合著者，並擁有70項發明專利。趙教授曾擔任多本IEEE Transactions、IET系列、信號處理及其他國際期刊的活躍審稿人。自2017年8月起，他被任命為AEU-國際電子與通信期刊的編輯委員會成員，並於2019年3月被任命為IEEE Access的副編輯。目前，他也是信號處理（頂級期刊）的處理編輯。
陳八東（IEEE 高級會員）於1997年和2003年分別獲得中國重慶大學控制理論與工程的學士和碩士學位，並於2008年獲得清華大學（中國北京）計算機科學與技術博士學位。他於2010年至2012年在佛羅里達大學計算神經工程實驗室（CNEL）擔任博士後研究員。2015年，他作為訪問研究科學家訪問新加坡南洋理工大學（NTU）。2017年，他擔任香港理工大學的高級研究員。目前，他是西安交通大學人工智能與機器人研究所（IAIR）的教授。他的研究興趣包括信號處理、機器學習、人工智能、神經工程和機器人技術。他已出版兩本書籍和200多篇各類期刊及會議論文，根據Google Scholar，他的論文被引用超過5700次。陳博士是IEEE高級會員，IEEE SPS信號處理機器學習技術委員會成員，IEEE CIS認知與發展系統技術委員會成員，IEEE Transactions on Cognitive and Developmental Systems、IEEE Transactions on Neural Networks and Learning Systems及Journal of The Franklin Institute的副編輯，並曾擔任Entropy的編輯委員會成員。
