Discrete-Time Signal Processing: 2nd Edition

Author: Ronald W. Schafer Alan V. Oppenheim John R. Buck
Publisher:
Publish Date: 2005-01-01
Features: The second edition of Discrete-Time Signal Processing maintains the style of the previous edition, but considering the late 20th century and the beginning of the new millennium, "Digital Signal Processing" courses have become widely offered at the undergraduate level. Therefore, the authors believe that as a textbook, it should not aim to "cover" all aspects of the discipline's development but rather to reveal the fundamental knowledge, basic theories, and basic methods of the subject, thereby enhancing the problem-solving abilities of students and engineers. The authors have eliminated some content that is not essential for the undergraduate level, such as removing the topics of cepstrum and homomorphic signal processing from the main text and placing them in the exercises. At the same time, recognizing the importance of multi-rate signal processing in oversampling A/D and D/A conversion and digital filter implementation in signal processing, this section has been expanded. For example, the cosine transform, which plays a significant role in data compression, has been introduced into the textbook. These additions and deletions in content allow the textbook to present classic material while continuously introducing new concepts, reflecting its rationality, scientific rigor, and modernity.
Another major feature of the second edition is its practicality. "Digital Signal Processing" is a highly practical course, and Oppenheim has maintained the style of writing books in recent years by leaving abundant exercises for the readers. Some of these exercises are derived from literature and are of considerable difficulty. This edition has expanded the number of exercises from 371 in the previous edition to 588, and the number of examples from 113 to 137. Additionally, the exercises are divided into three levels: basic problems (with answers), in-depth problems, and extended problems. These exercises are extremely helpful for deepening the understanding of the textbook content, consolidating fundamental concepts, and cultivating the ability to analyze and solve problems. Learning digital signal processing cannot be separated from hands-on practice. Although this textbook does not include specific laboratory guides, as mentioned in the preface, "many of the exercises in this book can be easily converted into computer-based practice problems," and specific approaches are outlined.
In summary, this book is a significant work by Oppenheim in the field of digital signal processing textbooks. It is characterized by clear concepts, rigorous exposition, logical content arrangement, and a wealth of examples and exercises, making it an excellent foundational textbook. Although the aforementioned textbooks all have corresponding Chinese translations, to better understand the authors' thought process and clarify concepts accurately, it is necessary to study the original version, allowing the Chinese and English versions to complement each other, experience its essence, and apply it in practice.
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