We have some time ago noticed that finding a book dealing with topics in the ad vanced theory and applications of signal detection is not quite an easy matter. This is contrasted with that there are numerous books on the more general subject of de tection and estimation.Frankly, ourexperience and expertise is only on some partial portions of the theory and recent topics of signal detection. This book is therefore meant to include not all the advanced and interesting topics in the theory and appli cations ofsignal detection, butjust onlysome subsets of them: some such important and interesting topics and issues as distributed signal detection and sequential de tection are not considered only due to our limited knowledge and capacity. The goal we have in mind for this book is to present several advanced topics in signal detection theory and thereby help readers gain novel ideas and insights. In this book, we have tried to completely present in a unified way the theme oflocally optimum detection ofsignals in generalized observations. Among our hope is thus that the readers would be able to understand the concepts and fundamentals of a generalized observation model as applied to signal detection problems. This book will also allow the readers, whether they are students, academics, practitioners, or researchers, to have an expanded view on signal detection.
Iickho Song received the BSE and MSE degrees in electronics engineering from Seoul National University, Seoul, Korea, in 1982 and 1984, respectively, and the MSE and Ph.D. degrees in electrical engineering from the University of Pennsylvania, Philadelphia, PA, USA, in 1985 and 1987, respectively. In March 1988, Dr. Song joined the School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, where Dr. Song is currently a Professor. Dr. Song was an International Visiting Professor at the University of Science and Technology of China, Hefei, Anhui, China, in 2023.
The research interests of Dr. Song include communications theory, signal detection theory, and statistical signal processing. Dr. Song is a Fellow of the IEEE, IET, and KICS. So Ryoung Park received the BS degree in electronics engineering from Yonsei University, Seoul, Korea, in 1997, and the MSE and Ph.D. degrees in electrical engineering from Korea Advanced Institute of Science and Technology, Daejeon, Korea, in 1999 and 2002, respectively. In March 2003, Dr. Park joined the School of Information, Communications, and Electronics Engineering, the Catholic University of Korea, Bucheon, Korea, where Dr. Park is currently a Professor. The research interests of Dr. Park include detection and estimation theory, statistical signal processing, and wireless communications. Dr. Park is a Senior Member of the IEEE. Wenyi Zhang received the bachelor's degree in automation from Tsinghua University, Beijing, China, in 2001, and the master's and Ph.D. degrees in electrical engineering from the University of Notre Dame, Notre Dame, IN, USA, in 2003 and 2006, respectively. Dr. Zhang is currently a Professor with the Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China. Prior to that, Dr. Zhang was with the University of Southern California, LosAngeles, CA, USA, as a postdoctoral research associate, and the Corporate Research and Development, Qualcomm Incorporated, San Diego, CA, USA. The research interests of Dr. Zhang include wireless communications, information theory, and signal detection/estimation. Dr. Zhang is a Senior Member of the IEEE. Seungwon Lee received the Ph.D. degree in electrical engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2018. From 2018 to 2020, Dr. Lee was with the School of Electrical Engineering, KAIST as a Postdoctoral Research Fellow. Since 2020, Dr. Lee has been with the Modem Development Team, SOC Development, System LSI Business Department, Samsung Electronics, Hwaseong-si, Gyeonggido Korea. The research interests of Dr. Lee include mobile communications, detection and estimation theory, and statistical signal processing. Dr. Lee is a Senior Member of the IEEE.