Springer Multirate Statistical Signal Processing (Signals and Communication Technology)

Multirate Statistical Signal Processing introduces a statistical theory for extracting information from related signals with different sampling rates. This new theory generalizes the conventional deterministic theory of multirate systems beyond many of its constraints. Further, it allows for the formulation and solution of new problems: spectrum estimation, time-delay estimation and sensor fusion in the realm of multirate signal processing. This self-contained book presents background material, potential applications and leading-edge research. Review From the reviews: "The book presents the set of results, obtained by a thorough study of a variety of signal processing problems … . The main goal of the author in writing this book is to inspire the reader to initiate his own research … . The book will be of interest for all specialists working in the area of digital signal processing. It will be very useful for the students, postgraduates and researchers, which are looking for new directions of their studies."(Tzvetan Semerdjiev, Zentralblatt MATH, Vol. 1141, 2008) About the Author Omid S. Jahromi, Ph.D., is the Principal Engineer at Authorizer Technologies in Palm Beach Gardens, Florida. He has extensive academic and industrial research experience in the fields of digital signal processing, image processing and biometric identity verification. Dr. Jahromi has taught several engineering courses at the departments of Electrical and Computer Engineering and Mechanical and Industrial Engineering at the University of Toronto in Toronto, Canada. Since 2004, he has been leading several standardization projects at the American National Standards Institute (ANSI) and the International Organization for Standards (ISO) focusing on the standardization of biometric data interchange formats.