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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).
Most helpful customer reviews
7 of 7 people found the following review helpful.
Great book for beginner's with DSP theory background.
By Nuey
I took Professor Singh's DSP programming class at San Jose State University using his lecture notes (book store printed copy) from which this book is based. The class was excellent, the notes were great, and I learned a lot.
You need some basic DSP theory background (FIR/IIR filters, FFT algorithm, decimators/interpolators, sampling, quantization, etc.) to get the most from this book. Some of the main topics he covers are: TI 'C54x DSP processor architecture and memory map, mnemonic intruction set (assembly language), pipelines, setting up and programming peripheral devices (A/D-D/A converter, DMA). And lastly, he includes assembly code examples and homework problems for DSP applications.
SOME CRITIQUES:
1. You can find all the information contained in this book from TI's manuals, tutorials, and application notes. But, the strength of this book lies in combining all that information in one place in a manner that is neither too high (so general that you can't implement anything practical), nor too low (so much detail that you get lost). Great for a beginner who needs to crossover from theory to practice.
2. This book's focus is on the hardware bit/register level in assembly language; great when you need to program a really time-critical section of code but not recommended to immplement an entire system in. That's the purpose of C/C++ and real-time operating systems of which Professor Singh makes no mention.
3. I thumbed through the book at the bookstore yesterday and noticed that a CD for the code examples wasn't included. A definite drag to type all that in. Maybe he has a website for download. I'm not sure though.
4. You need to buy or have access to the 'C54x DSK board. I bought mine from TI's website for $395. I'm really happy with it. TI has plenty of documentation and good online tutorials. The software design environment, debugging/analysis tools, and RTOS that comes with it are excellent.
5. Finally, I want to say that a few sections of the book could use expanding upon. For example, I thought his explanation of interrupts could have been better. All in all though, for a solid place to get your feet wet and armed with supplemental reading material, I highly recommend this book!
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