Fundamentals of Statistical Signal Processing: Practical Algorithm
Development is the third volume in a series of textbooks by the same name.
Previous volumes described the underlying theory of estimation and detection
algorithms. In contrast, the current volume addresses the practice of
converting this theory into software algorithms that may be implemented on a
digital computer. In describing the methodology and techniques, it will not be
assumed that the reader has studied the first two volumes, but of course,
he/she is certainly encouraged to do so. Instead, the descriptions will focus on
the general concepts using a minimum of mathematics but will be amply
illustrated using MATLAB implementations. It is envisioned that the current
book will appeal to engineers and scientists in industry and academia who
would like to solve statistical signal processing problems through design of
well-performing and implementable algorithms for real systems.
1