Digital Signal Processing - Time-Domain Discrete Random Signal Processing

Author: Ding Yumei et al.
Publisher:
Publish Date: 2002-12-01
Features: This book systematically introduces the fundamental theories and analytical methods of time-domain discrete random signal processing for undergraduate students after they have completed the study of deterministic digital signal processing. The book is divided into six chapters. Chapter 1 is the theoretical foundation of time-domain discrete random signal analysis. Chapters 2 and 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 concise and essential material, striving to be both accessible and thorough with detailed 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 science and engineering disciplines related to signal processing, as well as for teachers, Ph.D. students, and.