An Introduction to Statistical Signal Processing
An Introduction to Statistical Signal Processing
Lee D. Davisson, University of Maryland, College Park
This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to specific applications in communications and signal processing using a range of carefully chosen examples. The book begins with a development of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the book. Hundreds of homework problems are included and the book is ideal for graduate students of electrical engineering and applied mathematics. It is also a useful reference for researchers in signal processing and communications.
- Links theoretical ideas to specific applications in signal processing
- Contains hundreds of homework problems
- Appendices provide prerequisite mathematical results
Product details
February 2010Paperback
9780521131827
478 pages
244 × 170 × 24 mm
0.76kg
Available
Table of Contents
- Preface
- 1. Introduction
- 2. Probability
- 3. Random objects
- 4. Expectation and averages
- 5. Second-order theory
- 6. A menagerie of processes
- Appendices.
