Learning Approaches in Signal Processing

Edited by:   Wan-Chi Siu, Lap-Pui Chau, Liang Wang, Tieniu Tang, Tieniu Tang
Imprint:   Pan Stanford Publishing Pte Ltd
Country of Publication:   Singapore
Dimensions:   Height: 229mm,  Width: 152mm, 
Weight:   9.120kg
ISBN:   9789814800501
ISBN 10:   9814800503
Series:   Jenny Stanford Series on Digital Signal Processing
Pages:   678
Publication Date:   28 November 2018
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Wan-Chi Siu, a PhD graduate of Imperial College London, is emeritus professor and was chair professor, head (Electronic and Information Engineering), and dean of the Engineering Faculty of the Hong Kong Polytechnic University. He was the convener of the First Engineering/IT Panel of the 1993 Research Assessment Exercise in Hong Kong and vice president, conference board chair, and core member of the Board of Governors of the IEEE Signal Processing Society (2012–2014). Prof. Siu is a life-fellow of the IEEE, fellow of the IET and the HKIE, and president (2017–2018) of the Asia Pacific Signal and Information Processing Association. He has been a guest editor/subject editor/associate editor for IEEE Transactions on Circuits and Systems, Image Processing, Circuits and Systems for Video Technology, and Electronics Letters, published over 500 research papers, and organized IEEE-sponsored flagship conferences as the TPC chair (ISCAS1997) and general chair (ICASSP2003 and ICIP2010). Lap-Pui Chau works in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, and is a fellow of the IEEE. He was chair of the Technical Committee on Circuits and Systems for Communications of the IEEE Circuits and Systems Society (2010–2012) and has served as an associate editor for five IEEE journals. Dr. Chau has also been an IEEE Distinguished Lecturer (2009–2016). Liang Wang is full professor at the Institute of Automation, Chinese Academy of Sciences; deputy director of the National Laboratory of Pattern Recognition, China; secretary-general of the Technical Committee on Computer Vision, China Computer Federation; and director of the Technical Committee on Visual Big Data, China Society of Image and Graphics. He is a senior member of the IEEE and a fellow of the International Association of Pattern Recognition. Tieniu Tan, a PhD graduate of Imperial College London, joined the Institute of Automation, Chinese Academy of Sciences, as a full professor in 1998. He is director of the Center for Research on Intelligent Perception and Computing at CASIA and deputy director of the Liaison Office of the Central People’s Government in the Hong Kong S.A.R. He has published 14 edited books and monographs and more than 600 research papers. Prof. Tan is a fellow of The World Academy of Sciences, Chinese Academy of Sciences, IEEE, and IAPR, an international fellow of the Royal Academy of Engineering, UK, and a corresponding member of the Brazilian Academy of Sciences.