Digital Signal Processing: Time-Domain Discrete Random Signal Processing

Author: Ku Yonghong
Publisher:
Publish Date: 2004-11-01
Features: This book systematically introduces the fundamental theories and analytical methods of time-domain discrete random signal processing for undergraduate students who have completed the study of deterministic digital signal processing. The book is divided into six chapters. Chapter 1 serves as the theoretical foundation of the entire book. Chapter 2 and Chapter 3 cover optimal filters such as Wiener filtering, Kalman filtering, and adaptive filtering. Chapter 4 focuses on power spectrum analysis. Chapter 5 explores a non-stationary random digital signal analysis method, namely time-frequency analysis. Chapter 6 introduces the basic principles and applications of wavelet analysis. While elaborating on the fundamental theories, the book also covers new developments in digital signal processing. As a textbook, it selects materials that are concise and refined, aiming to explain concepts in an accessible and detailed manner. To help readers deeply understand the fundamental theories and analytical methods, the book includes a selection of examples and exercises at the end of each chapter, with some chapters also featuring computer assignments. This book is suitable as a textbook or reference for master's degree courses or elective courses in signal processing-related disciplines at universities of science and engineering, as well as for reference by teachers, Ph.D. students, and.