Digital Signal Processing

Author: Ku Yonghong
Publisher:
Publish Date: 2001-01-01
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 is the theoretical foundation of the 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 be both accessible and detailed in explanations. 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 for science and engineering students. It is also suitable for teachers, Ph.D. students, and.