ABSTRACT

Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far beyond those of just few years ago. Nonlinear, adaptive methods for signal processing have emerged to provide better array gain performance, however, they lack the robustness of conventional algorithms. The challenge remains to develop a concept that exploits the advantages of both-a scheme that integrates these methods in practical, real-time systems.

The Advanced Signal Processing Handbook helps you meet that challenge. Beyond offering an outstanding introduction to the principles and applications of advanced signal processing, it develops a generic processing structure that takes advantage of the similarities that exist among radar, sonar, and medical imaging systems and integrates conventional and nonlinear processing schemes.

chapter 2|13 pages

Adaptive Systems for Signal Process*

chapter 4|24 pages

3 Cross-Relation Matched Field Processor

chapter 6|25 pages

Advanced Beamformers

chapter 6|25 pages

5 Advanced Beamformers

6.5.1 Synthetic Aperture Processing

chapter 7|55 pages

2 Applications to Medical Data

7.2.1 Radiological Data

chapter 8|2 pages

Target Tracking

chapter 8|11 pages

1 Introduction

chapter 8|5 pages

4 Bayesian Track Maintenance k, p

k1typically the current scan time. A priori

chapter 8|54 pages

5 Suboptimal Realization

chapter 10|49 pages

4 Signal Processing Functions

10.4.1 Detection

chapter 12|118 pages

3 Analysis and Design of Phased Arrays

chapter 16|118 pages

5 Conclusions