Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSPs (3^rd Ed.)

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.

Section I: Enduring Fundamentals. Introduction and Organization. Sampling and Reconstruction. FIR Digital Filters. IIR Digital Filters. Periodic Signal Generation. Frame-Based DSP. Digital Filters Using Frames. The Fast Fourier Transform. Spectral Analysis and Windowing. Section II: Projects. Project 1: Guitar Special Effects. Project 2: Graphic Equalizer. Project 3: Second-Order Sections. Project 4: Peak Program Meter. Project 5: Adaptive Filters. Project 6: AM Transmitters. Project 7: AM Receivers. Project 8: Phase-Locked Loop. Project 9: BPSK Digital Transmitters. Project 10: BPSK Digital Receivers. Project 11: MPSK and QAM Digital Transmitters. Project 12: QPSK Digital Receivers. Section III: Appendices. Appendix A Code Composer Studio: An Overview. Appendix B DSP/BIOS. Appendix C Numeric Representations. Appendix D TMS320C6x Architecture. Appendix E Related Tools for DSKs. Appendix F Using the Code Generator with MATLAB. Appendix G Battery Power for the DSP Boards. Appendix H Programming Perils and Pitfalls. Appendix I Comparison of DSP Board. Appendix 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