Computer-based signal processing practice

Author: (USA) McClellan
Publisher:
Publish Date: 2006-01-01
Features: This book is designed to accompany digital signal processing theory textbooks. The selected exercises primarily utilize computers to learn signal processing theory and apply it to solve real-world problems, thereby achieving an integration of theoretical learning and practical application. The content includes 11 chapters: Basic Signals and Systems, Discrete Fourier Transform, Spectrum Analysis, Multirate Processing, Systems and Structures, Random Signals, Word-Length Effects, Discrete-Time Filter Design, DFT and FFT Algorithms, Applications, and Signal Modeling. The book is divided into 38 sections, covering 127 topics and 496 problems. Some of the content supplements classroom teaching materials and after-class exercises, while other content has been applied in signal processing laboratory settings. The problems vary in form and type, reflecting the diverse teaching styles of the six authors, who are internationally renowned scholars and experts in the field of signal processing. The book covers a broad range of topics, making it suitable for undergraduate and graduate students at all levels studying "Digital Signal Processing," "Signal Detection and Estimation," "Random Signal Analysis and Processing," and "Signal Spectrum Estimation," as well as teachers and researchers engaged in teaching and scientific research in the field of signal processing.