Digital Signal Processing, 5/e (Paperback)
暫譯: 數位信號處理，第5版（平裝本）

本書序言

●新內容：第12章涵蓋多速率數位濾波器組和小波。它解釋了二通道正交鏡像濾波器（QMF）組和多通道濾波器組，這些濾波器組能消除混疊並提供信號的完美重建。包括對於二通道和多通道濾波器組的FIR濾波器設計的處理。小波和離散小波變換是本章第二部分的重點，描述了離散小波變換的構造以及小波與濾波器組之間的關聯。

●新內容：ARMA模型參數估計包含在對功率譜估計的詳細檢視中。

●新內容：在對DFT特性和應用及DFT的高效計算的檢視中，介紹了短時傅立葉變換和稀疏FFT演算法。

●新內容：在對LTI離散系統的頻域分析中，討論了混響濾波器。

本書特色

●實用應用包括範例、超過500個作業問題和電腦問題。

●描述將類比信號轉換的技術，分析線性時不變離散時間系統和信號在時間域中的表現，以及雙邊和單邊z變換方法。

●分析信號和系統在頻域中的表現，連續和離散時間信號中的傅立葉級數和變換，以及連續時間信號的取樣和重建。

●檢視IIR和FIR系統的實現及設計數位濾波器的技術。

●探討取樣率轉換及其在多速率數位信號處理中的應用。

●討論基於LMS和RLS演算法的線性預測、最佳線性濾波器和單通道自適應濾波器。

Known as a digital communications expert, inspiring educator and prolific writer, John G. Proakis has helped shape electrical engineering and digital communications programs and composed textbooks that have influenced graduate students worldwide. Dr. Proakis developed an outstanding reputation of providing inspired teaching and supervision of students with an academic career that began in 1969 with the Electrical Engineering Department at Northeastern University, MA, USA. As the chair of Northeastern's Department of Electrical and Computer Engineering, Dr. Proakis helped transform the department from a teaching environment to a dynamic research-active department. Dr. Proakis also served as associate dean and director of Northeastern's Graduate School of Engineering. Of his 10 textbooks on digital communication and signal processing, Digital Communications (McGraw Hill) is perhaps the best known. Considered the most influential resource on the topic and now in its 5th edition, the textbook has educated generations of students and engineers about the fundamentals associated with the digital information age. His other influential textbooks include Introduction to Digital Signal Processing (Prentice Hall), Communication Systems Engineering (Prentice Hall) and Fundamentals of Communication Systems (Prentice Hall). Dr. Proakis has also expanded engineering education beyond theory to laboratory experiments and simulation techniques using computers and software. His textbooks in this area include Digital Signal Processing Using MATLAB (CL-Engineering) and Contemporary Communication Systems Using MATLAB and Simulink (Cengage Learning). Through these approachable books, Dr. Proakis has helped expose students early on to the MATLAB development and simulation tool that they will likely need to use throughout their professional careers. Dr. Proakis also served as editor of the 5-volume Wiley Encyclopedia of Telecommunications. An IEEE Life Fellow and recipient of the IEEE Signal Processing Society Education Award (2004), Dr. Proakis is a Professor Emeritus with Northeastern University and an Adjunct Professor at the University of California in San Diego, CA, USA.

Dr. Dimitris G. Manolakis, a senior staff member in the Applied Space Systems Group, joined Lincoln Laboratory at the Massachusetts Institute of Technology in 1999 and has combined an extensive research career with a commitment to education. Dr. Manolakis's work has included the exploration and development of techniques in digital signal processing, adaptive filtering, array processing, pattern recognition and remote sensing. His recent research has focused on algorithms for hyperspectral target detection and modeling of spatio-temporal count data from down-looking sensors. Throughout his career, Dr. Manolakis has been involved in educating future engineers. He has taught undergraduate and graduate courses at the University of Athens, at which he earned a bachelor's degree in physics and a doctorate in electrical engineering; Northeastern University, at which he is an adjunct professor; Boston College and Worcester Polytechnic Institute. In addition, through an in-house technical education program, he conducts courses in digital and statistical signal processing and adaptive filtering to explain fundamental principles and concepts to Lincoln Laboratory staff members embarking on research in these areas. In 2013, Dr. Manolakis was recognized with an IEEE Signal Processing Society Education Award for his dedication to advancing education through the development of curriculum materials, publication of scholarly texts and teaching.

Dr. Manolakis is a prolific writer. He has authored or coauthored more than 135 articles on topics ranging from digital signal processing to hyperspectral remote sensing of chemical plumes to hyperspectral image processing for automatic target detection; these articles have been cited in almost 5000 scientific publications. In addition, he has coauthored 3 textbooks that are widely used in academia: Digital Signal Processing: Principles, Algorithms, and Applications (Prentice Hall, 2006, 4th ed.), which has been translated into 6 languages and cited 41,000 times; Statistical and Adaptive Signal Processing (Artech House, 2005) and Applied Digital Signal Processing (Cambridge University Press, 2011).

被譽為數位通信專家、啟發性教育者和多產作家的John G. Proakis，在電機工程和數位通信課程的發展上扮演了重要角色，並撰寫了影響全球研究生的教科書。Proakis博士自1969年起在美國麻薩諸塞州的東北大學電機工程系開始其學術生涯，並以其啟發性的教學和對學生的指導而享有卓越的聲譽。作為東北大學電機與計算機工程系的系主任，Proakis博士幫助將該系從一個教學環境轉變為一個充滿活力的研究主導部門。Proakis博士還擔任過東北大學工程研究生院的副院長和主任。他的10本數位通信和信號處理的教科書中，Digital Communications（McGraw Hill）或許是最為人所知的。這本教科書被認為是該主題上最具影響力的資源，現已進入第5版，教育了幾代學生和工程師有關數位信息時代的基本原理。他的其他影響力教科書包括Introduction to Digital Signal Processing（Prentice Hall）、Communication Systems Engineering（Prentice Hall）和Fundamentals of Communication Systems（Prentice Hall）。Proakis博士還將工程教育擴展到理論之外，進行實驗室實驗和使用計算機及軟體的模擬技術。他在這一領域的教科書包括Digital Signal Processing Using MATLAB（CL-Engineering）和Contemporary Communication Systems Using MATLAB and Simulink（Cengage Learning）。通過這些易於接觸的書籍，Proakis博士幫助學生早期接觸到他們在職業生涯中可能需要使用的MATLAB開發和模擬工具。Proakis博士還擔任了五卷本的Wiley Encyclopedia of Telecommunications的編輯。作為一名IEEE終身會士和IEEE信號處理學會教育獎（2004）的獲得者，Proakis博士是東北大學的名譽教授，並在美國加州聖地牙哥大學擔任兼任教授。

Dr. Dimitris G. Manolakis是應用空間系統小組的高級職員，於1999年加入麻省理工學院的林肯實驗室，並將其廣泛的研究生涯與教育承諾相結合。Manolakis博士的工作包括數位信號處理、自適應濾波、陣列處理、模式識別和遙感技術的探索與開發。他最近的研究集中在高光譜目標檢測的演算法和從向下看的傳感器獲取的時空計數數據建模。在他的職業生涯中，Manolakis博士一直參與培養未來的工程師。他曾在雅典大學教授本科和研究生課程，並在該校獲得物理學學士學位和電機工程博士學位；在東北大學擔任兼任教授；以及在波士頓學院和伍斯特理工學院教授。此外，通過內部技術教育計劃，他為林肯實驗室的員工開設數位和統計信號處理及自適應濾波的課程，以解釋基本原理和概念，幫助他們在這些領域展開研究。2013年，Manolakis博士因其在課程材料開發、學術著作出版和教學方面的奉獻而獲得IEEE信號處理學會教育獎。

Manolakis博士是一位多產的作家。他已撰寫或共同撰寫超過135篇文章，主題涵蓋從數位信號處理到化學煙霧的高光譜遙感，再到自動目標檢測的高光譜影像處理；這些文章在近5000篇科學出版物中被引用。此外，他還共同撰寫了3本在學術界廣泛使用的教科書：Digital Signal Processing: Principles, Algorithms, and Applications（Prentice Hall, 2006, 第4版），已翻譯成6種語言並被引用41000次；Statistical and Adaptive Signal Processing（Artech House, 2005）和Applied Digital Signal Processing（劍橋大學出版社, 2011）。

1.Introduction
2.Discrete-Time Signals and Systems
3.The z-Transform and Its Application to the Analysis of LTI Systems
4.Frequency Analysis of Signals
5.Frequency-Domain Analysis of LTI Systems
6.Sampling and Reconstruction of Signals
7.The Discrete Fourier Transform: Its Properties and Applications
8.Efficient Computation of the DFT: Fast Fourier Transform Algorithms
9.Implementation of Discrete-Time Systems
10.Design of Digital Filters
11.Multirate Digital Signal Processing
12.Multirate Digital Filter Banks and Wavelets
13.Linear Prediction and Optimum Linear Filters
14.Adaptive Filters
15.Power Spectrum Estimation
A Random Number Generators
B Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters
Answers to Selected Problems

1.Introduction

2.Discrete-Time Signals and Systems

3.The z-Transform and Its Application to the Analysis of LTI Systems

4.Frequency Analysis of Signals

5.Frequency-Domain Analysis of LTI Systems

6.Sampling and Reconstruction of Signals

7.The Discrete Fourier Transform: Its Properties and Applications

8.Efficient Computation of the DFT: Fast Fourier Transform Algorithms

9.Implementation of Discrete-Time Systems

10.Design of Digital Filters

11.Multirate Digital Signal Processing

12.Multirate Digital Filter Banks and Wavelets

13.Linear Prediction and Optimum Linear Filters

14.Adaptive Filters

15.Power Spectrum Estimation

A Random Number Generators

B Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters

Answers to Selected Problems