• 1. Introduction; 2. Fundamentals of detection theory; 3. Fundamentals of estimation theory; 4. Optimal combining: single-signal; 5. Array signal processing and smart antenna; 6. Optimal combining: multiple-signal; 7. Multiple signal detection in vector space – MIMO detection; 8. MIMO detection with successive interference cancellation; 9. Lattice-reduction aided MIMO detection; 10. Analysis of LR based MIMO detection; Appendix 1. Review of signals and systems; Appendix 2. A brief review of entropy, mutual information, and channel capacity; Appendix 3. Important properties of matrices and vectors; Appendix 4. Lattice theory.

'Optimal Combining and Detection: Statistical Signal Processing for Communications covers fundamentals of signal detection and estimation and recent advances of multiple input multiple output (MIMO) detection. MIMO detection has become indispensable in modern wireless communication systems. I find the book very interesting and informative to wireless researchers and system engineers in both academia and industry. I believe that the book is also a very good text book for graduate students who are studying the advanced wireless communications technology.' Fumiyuki Adachi, Tohoku University, Japan