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020 _a9780387252810
_9978-0-387-25281-0
024 7 _a10.1007/b107069
_2doi
035 _avtls000330132
039 9 _a201509031110
_bVLOAD
_c201405070459
_dVLOAD
_c201401311330
_dstaff
_c201401311154
_dstaff
_y201401291448
_zstaff
_wmsplit0.mrc
_x552
050 4 _aTK5102.9
100 1 _aQureshi, Shehrzad.
_eautor
_9301735
245 1 0 _aEmbedded Image Processing on the TMS320C6000™ DSP :
_bExamples in Code Composer Studio™ and MATLAB /
_cby Shehrzad Qureshi.
264 1 _aBoston, MA :
_bSpringer US,
_c2005.
300 _aXVIII, 433páginas,
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387252803
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b107069
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c278250
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