Drawing from the knowledge, experience, and insight of leading engineers, researchers, and scholars in the field, Digital Signal Processing Fundamentals is one of three self-contained volumes in the new Digital Signal Processing Handbook, Second Edition. Emphasizing theoretical concepts, it features extensive updates on digital filtering, statistic signal processing, adaptive IT filters, and more. A new chapter focuses on conjugate gradients for inverse problems. The book also includes up-to-date sections on signal representation, optimization, and reconstruction; fast algorithms and structures; digital and adaptive filtering; and statistical and multirate signal processing. It is ideal for advanced undergraduate, graduate, and professional courses on digital signal processing.