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Productivity Press
24 January 2017
This updated edition gives readers hands-on experience in real-time DSP using a practical, step-by-step framework that also incorporates demonstrations, exercises, and problems, coupled with brief overviews of applicable theory and MATLAB applications. Organized in three sections that cover enduring fundamentals and present practical projects and invaluable appendices, this new edition provides support for the most recent and powerful of the inexpensive DSP development boards currently available from Texas Instruments: the OMAP-L138 LCDK. It includes two new real-time DSP projects, as well as three new appendices: an introduction to the Code Generation tools available with MATLAB, a guide on how to turn the LCDK into a portable battery-operated device, and a comparison of the three DSP boards directly supported by this edition.
By:   Thad B. Welch (Boise State University Idaho USA), Cameron H.G. Wright (University of Wyoming, Laramie, USA), Michael G. Morrow (University of Wisconsin-Madison, USA)
Imprint:   Productivity Press
Country of Publication:   United States
Edition:   3rd New edition
Dimensions:   Height: 254mm,  Width: 178mm, 
Weight:   1.157kg
ISBN:   9781498781015
ISBN 10:   1498781012
Pages:   444
Publication Date:   24 January 2017
Audience:   General/trade ,  College/higher education ,  Professional and scholarly ,  ELT Advanced ,  Primary
Format:   Hardback
Publisher's Status:   Active
Table of Contents List of Figures List of Tables List of Program Listings Preface Acknowledgments Section I: Enduring Fundamentals 1 Introduction and Organization 1.1 Why Do You Need This Book? 1.2 Real-Time DSP 1.3 How to Use This Book 1.4 Get Started 1.5 Problems 2 Sampling and Reconstruction 2.1 Theory 2.2 winDSK Demonstration 2.3 Talk-Through Using Windows 2.4 Talk-Through Using MATLAB and Windows 2.5 DSK Implementation in C 2.6 Follow-On Challenges 2.7 Problems 3 FIR Digital Filters 3.1 Theory 3.2 winDSK Demonstration 3.3 MATLAB Implementation 3.4 DSK Implementation in C 3.5 Follow-On Challenges 3.6 Problems 4 IIR Digital Filters 4.1 Theory 4.2 winDSK Demonstration: Notch Filter Application 4.3 MATLAB Implementation 4.4 DSK Implementation in C 4.5 Follow-On Challenges 4.6 Problems 5 Periodic Signal Generation 5.1 Theory 5.2 winDSK Demonstration 5.3 MATLAB Implementation 5.4 DSK Implementation in C 5.5 Pseudonoise Sequences 5.6 Follow-On Challenges 5.7 Problems 6 Frame-Based DSP 6.1 Theory 6.2 winDSK Demonstration 6.3 MATLAB Implementation 6.4 DSK Implementation in C 6.5 Summary of Frame-Based Processing 6.6 Follow-On Challenges 6.7 Problems 7 Digital Filters Using Frames 7.1 Theory 7.2 winDSK Demonstration 7.3 MATLAB Implementation 7.4 DSK Implementation in C 7.5 Follow-On Challenges 7.6 Problems 8 The Fast Fourier Transform 8.1 Theory 8.2 winDSK Demonstration 8.3 MATLAB Implementation 8.4 Implementation in C 8.5 Follow-On Challenges 8.6 Problems 9 Spectral Analysis and Windowing 9.1 Theory 9.2 winDSK Demonstration 9.3 MATLAB Implementation 9.4 DSK Implementation in C 9.5 Conclusion 9.6 Follow-On Challenges 9.7 Problems Section II: Projects 10 Project 1: Guitar Special Effects 10.1 Introduction to Projects 10.2 Theory 10.3 winDSK Demonstration 10.4 MATLAB Implementation 10.5 DSK Implementation in C 10.6 Follow-On Challenges 11 Project 2: Graphic Equalizer 11.1 Theory 11.2 winDSK Demonstration 11.3 MATLAB Implementation 11.4 DSK Implementation in C 11.5 Follow-On Challenges 12 Project 3: Second-Order Sections 12.1 Theory 12.2 winDSK Demonstration: Notch Filter Application 12.3 MATLAB Implementation 12.4 DSK Implementation in C 12.4.1 Example SOS Code 12.5 Points to Ponder 12.6 Follow-On Challenges 13 Project 4: Peak Program Meter 13.1 Theory 13.2 winDSK Demonstration: commDSK 13.3 MATLAB Implementation 13.4 DSK Implementation in C 13.5 Follow-On Challenges 14 Project 5: Adaptive Filters 14.1 Theory 14.2 winDSK8 Demonstration 14.3 MATLAB Implementation 14.4 DSK Implementation in C 14.5 Follow-On Challenges 15 Project 6: AM Transmitters 15.1 Theory 15.2 winDSK Demonstration 15.3 MATLAB Implementation 15.4 DSK Implementation in C 15.5 Follow-On Challenges 16 Project 7: AM Receivers 16.1 Theory 16.1.1 Envelope Detector 16.1.2 The Hilbert-Based AM Receiver 16.2 winDSK Demonstration 16.3 MATLAB Implementation 16.4 DSK Implementation in C 16.5 Follow-On Challenges 17 Project 8: Phase-Locked Loop 17.1 Theory 17.2 winDSK Demonstration 17.3 MATLAB Implementation 17.4 DSK Implementation in C 17.5 Follow-On Challenges 18 Project 9: BPSK Digital Transmitters 18.1 Theory 18.2 winDSK Demonstration 18.3 MATLAB Implementation 18.4 DSK Implementation in C 18.5 Follow-On Challenges 19 Project 10: BPSK Digital Receivers 19.1 Theory 19.2 winDSK Demonstration 19.3 MATLAB Implementation 19.4 DSK Implementation in C 19.5 Follow-On Challenges 20 Project 11: MPSK and QAM Digital Transmitters 20.1 Theory 20.2 winDSK Demonstration 20.3 MATLAB Implementation 20.4 DSK Implementation in C 20.5 Higher-Order Modulation Schemes 20.6 Follow-On Challenges 21 Project 12: QPSK Digital Receivers 21.1 Theory 21.2 winDSK8 Demonstration 21.3 MATLAB Implementation 21.4 DSK Implementation in C 21.5 Follow-On Challenges Section III: Appendices A Code Composer Studio: An Overview A.1 Introduction A.2 Starting Code Composer Studio A.3 Conclusion B DSP/BIOS B.1 Introduction B.2 DSP/BIOS Sample Projects C Numeric Representations C.1 Endianness C.2 Integer Representations C.3 Integer Division and Rounding C.4 Floating-Point Representations C.5 Fixed-Point Representations C.6 Summary of Numeric Representations D TMS320C6x Architecture D.1 Computer Architecture Basics D.2 TMS320C671x Architecture D.3 TMS320C674x Architecture E Related Tools for DSKs E.1 Introduction E.2 Windows Control Applications E.2.1 Sample Windows Control Application E.3 MATLAB Exports E.4 MATLAB Real-Time Interface F Using the Code Generator with MATLAB F.1 Introduction F.2 An FIR Filter Example F.3 Conclusion G Battery Power for the DSP Boards G.1 Introduction G.2 Method G.3 Testing G.4 Conclusion H Programming Perils and Pitfalls H.1 Debug versus Release Builds H.2 The Volatile Keyword H.3 Function Prototypes and Return Types H.4 Arithmetic Issues H.5 Controlling the Location of Variables in Memory H.6 Real-Time Schedule Failures H.7 Variable Initialization H.8 Integer Data Sizes I Comparison of DSP Boards I.1 Introduction I.2 Three Boards I.3 Conclusion J Abbreviations, Acronyms, and Symbols References Index

Thad B. Welch, Ph.D., P.E., is a Professor and past Chair of the Department of Electrical and Computer Engineering at Boise State University. He previously taught in the Department of Electrical and Computer Engineering at both the U.S. Naval Academy (USNA) and the U.S. Air Force Academy (USAFA). A retired Commander in the U.S. Navy, he was the inaugural 2011 SPEN Fellow. Additionally, he won the 2001 ECE Outstanding Educator Award, the 2002 Raouf Award for Excellence in the Teaching of Engineering, the John A. Curtis Lecture Award from the Computers in Education Division of ASEE in 1998, 2005, and 2010, the 2003 ECE Outstanding Researcher Award at USNA, and the 1997 Clements Outstanding Educator Award at USAFA. Dr. Welch is the former Chair and a founding member of the Technical Committee on Signal Processing Education for the Institute of Electrical and Electronic Engineers (IEEE) Signal Processing Society. He is a senior member of the IEEE and a member of the American Society for Engineering Education (ASEE), Tau Beta Pi (the engineering honor society), and Eta Kappa Nu (the electrical engineering honor society). Cameron H. G. Wright, Ph.D., P.E., is a Professor in the Department of Electrical and Computer Engineering at the University of Wyoming. He previously taught at the U.S. Air Force Academy (USAFA) in the Department of Electrical Engineering, where he was a Professor and Deputy Department Head. A retired Lieutenant Colonel in the U.S. Air Force, he won the Brigadier General R. E. Thomas Award for Outstanding Contributions to Cadet Education in 1992 and 1993. In 2005 and 2008, he won the IEEE Student Choice Award for Outstanding Professor of the Year, the Mortar Board Top Prof Award at the University of Wyoming in 2005, 2007, and 2015, the Outstanding Teaching Award from the ASEE Rocky Mountain Section in 2007, the John A. Curtis Lecture Award from the Computers in Education Division of ASEE in 1998, 2005, and 2010, the Tau Beta Pi WY-A chapter Undergraduate Teaching Award in 2011, and the University of Wyoming Ellbogen Meritorious Classroom Teaching Award in 2012. Dr. Wright is a founding member of the Technical Committee on Signal Processing Education for the IEEE Signal Processing Society, a senior member of the IEEE, and a member of ASEE, the National Society of Professional Engineers, the Biomedical Engineering Society, SPIE (The International Society of Optical Engineering), Tau Beta Pi, and Eta Kappa Nu. Michael G. Morrow, M.Eng.E.E., P.E., is a Faculty Associate in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. A retired Lieutenant Commander in the U.S. Navy, he previously taught in the Electrical and Computer Engineering Department at the U.S. Naval Academy and in the Department of Electrical and Computer Engineering at Boise State University. Mr. Morrow won both the 2002 Department of Electrical and Computer Engineering Outstanding Educator Award and the 2003 Gerald Holdridge Teaching Excellence Award at the University of Wisconsin-Madison. He is the founder and president of Educational DSP (eDSP), LLC, a company devoted to the development of affordable DSP solutions for educators and students worldwide. He is a member of the Technical Committee on Signal Processing Education for the Institute of Electrical and Electronic Engineers (IEEE) Signal Processing Society, a senior member of the IEEE, and a member of the American Society for Engineering Education (ASEE).

Reviews for Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSPs

Great text for moving students from theory to real-time implementation on the TI LCDK platform. What makes this book work so well is that it takes signal and systems students from their theory background and the mathematical modeling tool MATLAB, to real-time implementation in C. The specifics of the LCDK hardware platform (and older related platforms) are explain in intimate detail, making it very easy to get up and running in a short time (less than one class meeting). In summary this 3<sup>rd</sup> edition carrier in the tradition set by the previous editions by providing updated content via new chapters and updated coverage of the newer LCDK hardware platform. Universities using MATLAB and the LCDK should not hesitate to move on to the third edition of this well written text. <em> Mark Wickert, University of Colorado, USA</p></em>


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