000			03581nam a22004575i 4500
001			978-0-387-25281-0
003			DE-He213
005			20250710083933.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387252810 _a99780387252810
024	7		_a10.1007/b107069 _2doi
082	0	4	_a621.382 _223
100	1		_aQureshi, Shehrzad. _eauthor.
245	1	0	_aEmbedded Image Processing on the TMS320C6000™ DSP _h[recurso electrónico] : _bExamples in Code Composer Studio™ and MATLAB / _cby Shehrzad Qureshi.
264		1	_aBoston, MA : _bSpringer US, _c2005.
300			_aXVIII, 433p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- Tools -- Spatial Processing Techniques -- Image Filtering -- Edge Detection and Segmentation -- Wavelets -- Appendix A Putting it together: a streaming video application -- Appendix B Code Optimization.
520			_aEmbedded Image Processing on the TMS320C6000™ DSP: Examples in Code Composer Studio™ and MATLAB focuses on efficient implementations of advanced image processing algorithms for resource-constrained embedded DSP systems. Featuring the popular Texas Instruments TMS320C6000TM line of Digital Signal Processors, it utilizes a proven methodology of beginning with a high-level algorithmic point-of-view, proceeding to develop prototype code in MATLAB and Visual Studio, and concluding with an efficient implementation suitable for deployment on an embedded DSP system. Aside from image processing, the author also explains the uses and rationale behind a plethora of technologies, most notably several industry-standard and essential TI developer technologies, including the Code Composer Studio™ IDE. Highlights include numerous debugged MATLAB and C/C++ Visual Studio prototype applications and efficient C implementations of real-world algorithms tested on both the C6416 DSK and C6701 EVM development platforms. Embedded Image Processing on the TMS320C6000™ DSP: Examples in Code Composer Studio™ and MATLAB is an essential book for professional signal & image processing engineers working with TI DSPs where real-time constraints are present and performance is at a premium. Imaging software developers and DSP users will also find this book applicable, as it covers a variety of image and signal processing building blocks that appear in a diverse set of real-world applications, including medical imaging, satellite imaging, digital photography, and pattern recognition, to name a few. It may also serve as a reference work for advanced image processing, computer vision, and DSP students working in labs that use TI development kits or MATLAB.
650		0	_aENGINEERING.
650		0	_aCOMPUTER VISION.
650		0	_aOPTICAL PATTERN RECOGNITION.
650		0	_aTELECOMMUNICATION.
650	1	4	_aENGINEERING.
650	2	4	_aSIGNAL, IMAGE AND SPEECH PROCESSING.
650	2	4	_aIMAGE PROCESSING AND COMPUTER VISION.
650	2	4	_aPATTERN RECOGNITION.
650	2	4	_aCOMPUTER IMAGING, VISION, PATTERN RECOGNITION AND GRAPHICS.
650	2	4	_aCOMMUNICATIONS ENGINEERING, NETWORKS.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387252803
856	4	0	_uhttp://dx.doi.org/10.1007/b107069 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-ENG
942			_2ddc _cER
999			_c56415 _d56415