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Embedded Image Processing on the TMS320C6000(TM) DSP:Examples in Code Composer Studio(TM) and MATLAB focuses on efficient implementations of advanced image processing algorithms for resou… Altro …

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Embedded Image Processing on the TMS320C6000(TM) DSP - Shehrzad Qureshi
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Embedded Image Processing on the TMS320C6000? DSP - Shehrzad Qureshi
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2005, ISBN: 9780387252810

Examples in Code Composer Studio? and MATLAB, eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], Seiten: 433, [ED: 1], Springer-Verlag, 2005

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EAN (ISBN-13): 9780387252810
ISBN (ISBN-10): 0387252819
Anno di pubblicazione: 2005
Editore: Springer-Verlag
433 Pagine
Lingua: eng/Englisch

Libro nella banca dati dal 2009-03-05T05:41:02+01:00 (Zurich)
Pagina di dettaglio ultima modifica in 2024-04-13T20:28:50+02:00 (Zurich)
ISBN/EAN: 0387252819

ISBN - Stili di scrittura alternativi:
0-387-25281-9, 978-0-387-25281-0
Stili di scrittura alternativi e concetti di ricerca simili:
Titolo del libro: matlab, tms, the studio, image and code, code zdf


Dati dell'editore

Autore: Shehrzad Qureshi
Titolo: Embedded Image Processing on the TMS320C6000™ DSP - Examples in Code Composer Studio™ and MATLAB
Editore: Springer; Springer US
433 Pagine
Anno di pubblicazione: 2005-12-05
New York; NY; US
Lingua: Inglese
213,99 € (DE)
220,00 € (AT)
236,00 CHF (CH)
Available
XVII, 433 p.

EA; E107; eBook; Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik; Verstehen; Code Composer Studio; Digital signal processing; Filter; Image filtering; Pattern recognition; Performance; Signal processing algorithms; Visual Studio; Wavelet; Wavelets; development; filtering; image processing; metrics; wavelet transform; B; Signal, Speech and Image Processing; Computer Vision; Automated Pattern Recognition; Computer Imaging, Vision, Pattern Recognition and Graphics; Communications Engineering, Networks; Engineering; Digitale Signalverarbeitung (DSP); Maschinelles Sehen, Bildverstehen; Mustererkennung; Bildverarbeitung; Nachrichtententechnik, Telekommunikation; BB

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.

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.

Embedded Image Processing on the TMS320C6000™ DSP: Examples in Code Composer Studio™ and MATLAB Embedded Image Processing on the TMS320C6000™ DSP: Examples in Code Composer Studio™ and MATLAB

Introduction.- Tools.- Spatial Processing Techniques.- Image Filtering.- Edge Detection and Segmentation.- Wavelets.- Appendix A Putting it together: a streaming video application.- Appendix B Code Optimization.

 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.

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.

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.

Embedded Image Processing on the TMS320C6000™ DSP: Examples in Code Composer Studio™ and MATLAB Embedded Image Processing on the TMS320C6000™ DSP: Examples in Code Composer Studio™ and MATLAB

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.


Includes numerous debugged MATLAB and C/C++ Visual Studio prototype applications, and efficient C implementations of real-world algorithms Includes supplementary material: sn.pub/extras;

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