[内容简介]

Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze, design, implement and optimize real-world systems. Detailed derivations of the various statistical methods are provided, ensuring a deeper understanding of the basics. Packed with practical insights, it uses extensive examples from communication, telecommunication and radar engineering to illustrate how theoretical results are derived and applied in practice. A unique blend of theory and applications and over 80 analytical and computational end-of-chapter problems make this an ideal resource for both graduate students and professional engineers.

[目录]

1. Introduction and motivation to detection and estimation;

2. Review of probability and random processes;

3. Statistical hypothesis testing theory;

4. Detection of deterministic binary signals in Gaussian noises;

5. M-ary detection and classification of deterministic signals;

6. Non-coherent detection;

7. Parameter estimation;

8. Analytical and simulation methods for system performance analysis and design.