Digital Signal Processing: Principles, Algorithms, and Applications · Third Edition

Author: (USA) Boas (USA) Lucas
Publisher:
Publish Date: 2004-09-01
Features: This book is based on the author's teaching experience in digital signal processing for undergraduate and graduate students. It introduces the fundamental principles and applications of discrete-time signals, systems, and modern signal processing algorithms for students in electronic engineering, computer engineering, and computer science. The focus is on the analysis and design of digital signal processing systems and their computer implementation. The book is organized to emphasize both theory and practical applications, with carefully designed exercises at the end of each chapter to help readers master the material. To strike a reasonable balance between theory and practical application, the book rigorously introduces the fundamental concepts and techniques of modern digital signal processing, along with related algorithms and applications. It covers time-domain and frequency-domain methods for analyzing linear discrete-time systems, as well as topics such as sampling, digital filter design, filter implementation, deconvolution, interpolation, state-space methods, and spectral analysis. The book not only requires understanding of numerous examples and exercises but also emphasizes the practical implementation of digital signal algorithms through software.
Key Features:
· Covers the Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) algorithms, with a more rational and clear reorganization—introducing the DFT and then describing its fast computation after explaining Fourier analysis
· Describes the operations and techniques involved in analog-to-digital conversion
· Studies the characteristics of linear time-invariant discrete-time systems and discrete-time signals in the time domain
· Considers both bilateral and unilateral z-transforms, and describes methods for finding the inverse z-transform
· Analyzes signals and systems in the frequency domain, providing Fourier series and Fourier transforms for continuous-time and discrete-time signals
· Implements structures for infinite impulse response (IIR) and finite impulse response (FIR) systems, including direct form, cascade form, parallel form, lattice form, and lattice ladder form
· Covers the basics of sampling rate conversion and multirate conversion systems
· Provides detailed tests for power spectrum estimation, discussing non-parametric methods, model-based methods, and eigenvalue decomposition-based methods, including MUSIC and ESPRIT algorithms
· Includes numerous examples throughout the book and offers approximately 500 problems for practice
This book is suitable as a textbook for undergraduate courses in discrete systems and digital signal processing, as well as for first-year graduate courses in digital signal processing.