Understanding Digital Signal Processing with Matlab(r) and Solutions

The book discusses receiving signals that most electrical engineers detect and study. The vast majority of signals could never be detected due to random additive signals, known as noise, that distorts them or completely overshadows them. Such examples include an audio signal of the pilot communicating with the ground over the engine noise or a bioengineer listening for a fetus' heartbeat over the mother's. The text presents the methods for extracting the desired signals from the noise. Each new development includes examples and exercises that use MATLAB to provide the answer in graphic forms for the reader's comprehension and understanding.

這本書討論了大多數電氣工程師所檢測和研究的接收信號。由於隨機添加的信號，即噪音，使得大多數信號無法被檢測到，或者被噪音扭曲或完全掩蓋。例如，飛行員在引擎噪音中與地面通信的音頻信號，或者生物工程師在母體的心跳聲中聆聽胎兒的心跳聲。本文介紹了從噪音中提取所需信號的方法。每一個新的發展都包括使用MATLAB的示例和練習，以圖形形式提供讀者理解和理解的答案。

Dr. Poularikas previously held the positions of Professor at University of Rhode Island, Kingston, USA, Chairman of the Engineering Department at the University of Denver, Colorado, USA, and Chairman of the Electrical and Computer Engineering Department at the University of Alabama in Huntsville, USA. He has published, coauthored, and edited 14 books and served as an editor-in-chief of numerous book series. A Fulbright scholar, lifelong senior member of the IEEE, and member of Tau Beta Pi, Sigma Nu, and Sigma Pi, he received the IEEE Outstanding Educators Award, Huntsville Section in both 1990 and 1996. Dr. Poularikas holds a Ph.D from the University of Arkansas, Fayetteville, USA.

Dr. Poularikas曾擔任美國羅德島大學教授、美國科羅拉多州丹佛大學工程系主任，以及美國亞拉巴馬州亨茨維爾大學電機與電腦工程系主任。他發表、合著和編輯了14本書籍，並擔任多本書系的主編。作為富布萊特學者、終身IEEE高級會員以及Tau Beta Pi、Sigma Nu和Sigma Pi的成員，他在1990年和1996年兩次獲得IEEE傑出教育家獎，亨茨維爾分會。Dr. Poularikas擁有美國阿肯色州大學費耶特維爾分校的博士學位。