Mathematical Foundations for Signal Processing, Communications, and Networking

ISBN-13: 9781439855133 / Angielski / Twarda / 2011 / 857 str.

Opis

Mathematical Foundations for Signal Processing, Communications, and Networking describes mathematical concepts and results important in the design, analysis, and optimization of signal processing algorithms, modern communication systems, and networks. Helping readers master key techniques and comprehend the current research literature, the book offers a comprehensive overview of methods and applications from linear algebra, numerical analysis, statistics, probability, stochastic processes, and optimization. From basic transforms to Monte Carlo simulation to linear programming, the text covers a broad range of mathematical techniques essential to understanding the concepts and results in signal processing, telecommunications, and networking. Along with discussing mathematical theory, each self-contained chapter presents examples that illustrate the use of various mathematical concepts to solve different applications. Each chapter also includes a set of homework exercises and readings for additional study. This text helps readers understand fundamental and advanced results as well as recent research trends in the interrelated fields of signal processing, telecommunications, and networking. It provides all the necessary mathematical background to prepare students for more advanced courses and train specialists working in these areas.

Recenzje

"Here is a book providing the mathematical tools for a large range of researchers, more precisely for future researchers. First, we remark that the involved range is quite new, since many books give mathematical tools for signal processing, for communications or for networking. But this volume gives the tools for all three domains. In this way, a large group of students and researchers is addressed. Therefore the diversity of the subjects is larger. ... the chapters are written by well-known active workers in the domain. ... The included examples are interesting and suggestive. ... The book will be helpful for students and researchers to be acquainted with the recent trends in the areas included in the book. We think we are faced with an excellent book that will soon become a standard reference in the respective areas."
—Dumitru Stanomir (Bucureşti), Zentralblatt MATH, 1254 — 1

Spis treści

Introduction. Signal Processing Transforms. Linear Algebra. Elements of Galois Fields. Numerical Analysis. Combinatorics. Probability, Random Variables, and Stochastic Processes. Random Matrix Theory. Large Deviations. Fundamentals of Estimation Theory. Fundamentals of Detection Theory. Monte Carlo Methods for Statistical Signal Processing. Factor Graphs and Message Passing Algorithms. Unconstrained and Constrained Optimization Problems. Linear Programming and Mixed Integer Programming. Majorization Theory and Applications. Queueing Theory. Network Optimization Techniques. Game Theory. A Short Course on Frame Theory. Index.