The "DSP First" approach introduces the use of mathematics as the language for thinking about engineering problems, lays the groundwork for subsequent courses, and gives students hands-on experiences with MATLAB. The Second Edition features three new chapters on the Fourier Series, Discrete-Time Fourier Transform, and the The Discrete Fourier Transform as well as updated labs, visual demos, an update to the existing chapters, and hundreds of new homework problems and solutions. This text is derived from "DSP First: A Multimedia Approach," published in , which filled an emerging need for a new entry-level course not centered on analog circuits in the ECE curriculum.
It was also successfully used in 80 universities as a core text for linear systems and beginning signal processing courses. This derivative product, "Signal Processing First" SPF] contains similar content and presentation style, but focuses on analog signal processing.
Discrete-Time Signal Processing covers the information that the electrical computing and engineering student needs to know about DSP. The 9 revised papers included in this volume represent the diversity of two fields of research, Mobile HCI and Social Signal Processing and areas of overlap. They cover a wide range of topics spanning from approaches for effective interaction with mobile and wearable devices to modelling, analysis and synthesis of nonverbal behaviour in human-human and human-machine interactions.
This is the second volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.
This second book focuses on recent developments in response to the demands of new digital technologies. It is divided into two parts: the first part includes four chapters on the decomposition and recovery of signals, with special emphasis on images. In turn, the second part includes three chapters and addresses important data-based actions, such as adaptive filtering, experimental modeling, and classification. DSP is a very math intensive subject and one would require a deep understanding in mathematics to understand various aspects of DSP.
Although there are many books which cover DSP extensively, most of them or all of them would require a ton of mathematics to understand even the most fundamental concepts. For a first timer in DSP, getting their heads around advanced math topics like Fourier transform etc is a very hard task. Most students tend to lose interest in DSP, because of this sole reason. Students don't stick around long enough to discover how beautiful a subject DSP is.
In this book, explainations of the various fundamental concepts are given in an intuitive manner with minimum maths. Also, the various topics are connected with real life situations wherever possible. This way even the first timers can learn the basics of DSP with minimum effort.
Hopefully the students will enjoy this different approach to DSP. The various concepts of the subject are arranged logically and explained in a simple reader-friendly language with MATLAB examples.
Now, it has been fully updated in this valuable Second Edition to be compatible with the latest version 3.
Page: View: Based on user feedback, a number of new topics have been added to the second edition, while some excess topics from the first edition have been removed. The author has taken great care to organize the chapters more logically by reordering the sections within chapters. More worked-out examples have also been included. New topics in the second edition include: finite-dimensional discrete-time systems, correlation of signals, inverse systems, system identification, matched filter, design of analog and IIR digital highpass, bandpass and bandstop filters, more on FIR filters, spectral analysis of random signals and sparse antenna array design.
The lab book includes 11 laboratory exercises, with each exercise containing a number of projects to be carried out on a computer. The book assumes that the reader has no background in MATLAB and teaches the reader, through tested programs in the first half of the book, the basics of this powerful language in solving important problems in signal processing.
In the second half of the book, the student is asked to write the necessary MATLAB programs to carry out the projects. The entire series consists of four volumes that collectively cover basic digital signal processing in a practical and accessible manner, but which nonetheless include all essential foundation mathematics.
No portion of this material may be reproduced, in any form or by any means, without permission in writing from the publisher. Archive of hundreds of solved exercises on the Companion Website, plus much more.
Updated labs, visual demos, an update to the existing chapters, and hundreds of new homework problems and solutions. The Discrete Fourier Transform. Pearson offers affordable and accessible purchase options to meet the needs of your students. Connect with us to learn more. James H. McClellan received the B. During he was a member of the research staff at M. In , he joined Schlumberger Well Services where he worked on the application of 2-D spectral estimation to the processing of dispersive sonic waves, and the implementation of signal processing algorithms for dedicated high-speed array processors.
He has been at Georgia Tech since Ronald W. Schafer is an electrical engineer notable for his contributions to digital signal processing. After receiving his Ph. Kilby Signal Processing Medal. We're sorry! We don't recognize your username or password.
Please try again. The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning.
You have successfully signed out and will be required to sign back in should you need to download more resources. DSP First, 2nd Edition. Description For introductory courses freshman and sophomore courses in Digital Signal Processing and Signals and Systems. Text may be used before the student has taken a course in circuits. DSP First and it's accompanying digital assets are the result of more than 20 years of work that originated from, and was guided by, the premise that signal processing is the best starting point for the study of electrical and computer engineering.
The "DSP First" approach introduces the use of mathematics as the language for thinking about engineering problems, lays the groundwork for subsequent courses, and gives students hands-on experiences with MATLAB. Four chapters on analog signal processing systems, plus many updates and enhancements. Creative use of innovative, computer technology—Makes abstract content more accessible, enabling it to reach a wider range of students. Unique features from this work, such as visual learning animations, hands-on demonstrations, and integrated laboratories in multimedia format are widely hailed as essential learning tools for mastering fundamental concepts.
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