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Preface For many years, I have been teaching DSP (Digital Signal Processing) lab courses using various TI (Texas Instruments) DSP platforms. One question I have been get- ting from students in a consistent way is, ¡°Do we have to know C to take DSP lab courses?¡± Until last year, my response was, ¡°Yes, C is a prerequisite for taking DSP lab courses.¡± However, last year for the first time, I provided a different response by saying, ¡°Though preferred, it is not required to know C to take DSP lab courses.¡± This change in my response came about because I started using LabVIEW to teach students how to design and analyze DSP systems in our DSP courses. The widely available graphical programming environments such as LabVIEW have now reached the level of maturity that allow students and engineers to design and analyze DSP systems with ease and in a relatively shorter time as compared to C and MATLAB. I have observed that many students taking DSP lab courses, in particular at the undergraduate level, often struggle and spend a fair amount of their time debugging C and MATLAB code instead of placing their efforts into understanding signal processing system design issues. The motivation behind writing this book has thus been to avoid this problem by adopting a graphical programming approach instead of the traditional and commonly used text-based programming approach in DSP lab courses. As a result, this book allows students to put most of their efforts into building DSP systems rather than debugging C code when taking DSP lab courses. One important point that needs to be mentioned here is that in order to optimize signal processing algorithms on a DSP processor, it is still required to know and use C and/or assembly programming. The existing graphical programming environments are not meant to serve as optimizers when implementing signal processing algorithms on DSP processors or other hardware platforms. This point has been addressed Preface in this book by providing two chapters which are dedicated solely to algorithm implementation on the TI family of TMS320C6000 DSP processors. It is envisioned that this alternative graphical programming approach to designing digital signal processing systems will allow more students to get exposed to the field of DSP. In addition, the book is written in such a way that it can be used as a self- study guide by DSP engineers who wish to become familiar with LabVIEW and use it to design and analyze DSP systems. I would like to express my gratitude to NI (National Instruments) for their support of this book. In particular, I wish to thank Jim Cahow, Academic Resources Manager at NI, and Ravi Marawar, Academic Program Manager at NI, for their valuable feedback. I am pleased to acknowledge Chuck Glaser, Senior Acquisition Editor at Elsevier, and Cathy Wicks, University Program Manager at TI, for their promotion of the book. Finally, I am grateful to my family who put up with my preoccupation on this book-writing project. Nasser Kehtarnavaz Download link£ºhttp://www.isload.com.cn/store/wag4j38hixzwt [ Last edited by 2007ÆïÖí¹ä½Ö on 2008-1-16 at 16:33 ] |
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