Download Digital Signal Processing Implementations: Using DSP Microprocessors (with examples from TMS320C54XX)By Avtar Singh, S. Srinivasan
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Digital Signal Processing Implementations: Using DSP Microprocessors (with examples from TMS320C54XX)By Avtar Singh, S. Srinivasan
Download Digital Signal Processing Implementations: Using DSP Microprocessors (with examples from TMS320C54XX)By Avtar Singh, S. Srinivasan
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Bridging the gap between Digital Signal Processing theory and design, this implementation-oriented textbook is based on the authors' extensive experience in teaching graduate and undergraduate courses on the subject. The objective of the book is to help students understand the architecture, programming, and interfacing of commercially available programmable DSP devices, and to effectively use them in system implementations. Throughout the book, the authors utilize a popular family of DSP devices, viz., TMS320C54xx from Texas Instruments. In the end, students will be comfortable in using both hardware and software for designing with the programmable DSP devices.
- Sales Rank: #3908738 in Books
- Brand: Brand: Cengage Learning
- Published on: 2003-10-17
- Original language: English
- Number of items: 1
- Dimensions: 9.76" h x .95" w x 7.34" l, 1.81 pounds
- Binding: Hardcover
- 346 pages
- Used Book in Good Condition
Review
1. INTRODUCTION. A Digital Signal Processing System. Programmable Digital Signal Processors. Major Features of Programmable Digital Signal Processors. The Scope of the Book. 2. INTRODUCTION TO DIGITAL SIGNAL PROCESSING. Introduction. A Digital Signal Processing System. The Sampling Process. Discrete Time Sequences. Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Linear Time Invariant Systems. Digital Filters. Decimation and Interpolation. Analysis and Design Tool for DSP Systems?MATLAB. Digital Signal Processing using MATLAM. Summary. 3. COMPUTATIONAL ACCURACY IN DSP IMPLEMENTATIONS. Introduction. Number-Formats for Representation of Signals and Coefficients in DSP Structures. Dynamic Range and Precision. Sources of Errors in a DSP Implementation. A/D Conversion Errors. DSP Computational Errors. D/A Conversion Errors. Summary. 4. ARCHITECTURES FOR PROGRAMMABLE DIGITAL SIGNAL PROCESSING DEVICES. Introduction. Basic Architectural Features. Computational Building Blocks. Bus Architecture and Memory. Data Addressing Capabilities. Address Generation Unit. Programmability and Program Execution. Speed Issues. Features for External Interfacing. Summary. 5. PROGRAMMABLE DIGITAL SIGNAL PROCESSORS. Introduction. Commercial Digital Signal Processing Devices. The Architecture of TMS320C54xx Digital Signal Processors. Addressing Modes of the TMS320C54xx Processors. Memory Spaces of TMS320C54xx Processors. Program Control. TMS320C54xx Instructions and Programming. On-Chip Peripherals. Interrupts. Pipeline Operation of the TMS320C54xx Processors. Summary. 6. DEVELOPMENT TOOLS FOR DIGITAL SIGNAL PROCESSING IMPLEMENTATIONS. Introduction. The DSP Development Tools. The DSP System Design Kit (DSK). Software for Development. The Assembler and the Assembly Source File. The Linker and Memory Allocation. The C Compiler. The Code Composer Studio. DSP Software Development Example. Summary. 7. IMPLEMENTATIONS OF BASIC DSP ALGORITHMS. Introduction. The Q-notation. FIR Filters. IIR Filters. Interpolation Filters. Decimation Filters. PID Controller. Adaptive Filters. 2-D Signal Processing. Summary. 8. IMPLEMENTATION OF FFT ALGORITHMS. Introduction. An FFT Algorithm for DFT Computation. A Butterfly Computation. Overflow and Scaling. Bit-Reversed Index Generation. An 8-point FFT Implementation of TMS320C54xx. Computation of Signal Spectrum. Summary. 9. INTERFACING MEMORY AND PARALLEL I/O PERIPHERALS TO PROGRAMMABLE DSP DEVICES. Introduction. Memory Space Organization of the TMS320C54xx Devices. Memory and I/O Signals of the TMS320C54xx Devices. Memory Interface. Parallel I/O. Programmed I/O. Interrupts and I/O. Direct Memory Access (DMA). Summary. 10. INTERFACING SERIAL CONVERTERS TO A PROGRAMMABLE DSP DEVICE. Introduction. Synchronous Serial Interface between the DSP and an AIC. A Multi-channel Buffered Serial Port (McBSP). The McBSP Programming. A CODEC Interface Circuit. CODEC Programming. A CODEC-DSP Interface Example. Summary. 11. APPLICATIONS OF PROGRAMMABLE DSP DEVICES. Introduction. A DSP System. DSP Based Biotelemetry System. A Speech Processing System. An Image Processing System. A Position Control System for a Hard Disk Drive. DSP Based Power Meter. Summary. Appendix: Architectural Details of TMS320VC5416 Digital Signal Processor.
About the Author
Avtar Singh is Professor of Electrical Engineering at San Jose State University. Earlier he taught at the City University of New York and the County College of Morris. Before coming to San Jose State University, he was with industry. He has worked for National semiconductor, Anderson Jacobson, and Vivix Corporation, all in the silicon-valley. At San Jose State, Dr. Singh is involved in teaching and research in the areas of DSP implementation, biomedical instrumentation, and programmable devices and processors. He has published a number of articles in his areas of interest. He has also co-authored nine textbooks on Microprocessors.
S. Srinivasan is currently a Professor in the Electrical Engineering Department at the Indian Institute of Technology. In 1998-1999, he was a Visiting Professor at California State University, where he worked as Associate Professor from 1986-1990. His teaching areas include Digital Circuits and Systems, Computer Architecture, and VLSI Design. His research areas are Architectures and Applications of Digital Signal Processors, Image Processing Implementations, Video Compression, and ASIC Design. Dr. Srinivasan's awards and fellowships include the Siemens Prize for Academic Proficiency (1970), DAAD Fellowship (1977 ¿78), Alexander von Humboldt Fellowship (1983, not utilized), and the Best Design Entry award in the Design Contest held as part of the 13th International Conference on VLSI Design (2000).
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