Digital Media Processing: DSP Algorithms Using C


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Digital Signal Processing Basics and Nyquist Sampling Theorem

Optimized algorithms step-by-step directions are difficult to create Access Online via Elsevier Bolero Ozon. Multimedia processing demands efficient programming in order to optimize functionality.

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Optimized algorithms step-by-step directions are difficult to create but can make all the difference when developing a new application. Embedded Projects Appendix A: Reference Embedded Processor Appendix B: Multimedia processing demands efficient programming in order to optimize functionality.

9781856176781 - Digital Media Processing: DSP Algorithms Using C by Hazarathaiah Malepati

Data, image, audio, and video processing, some or all of which are present in all electronic devices today, are complex programming environments. Optimized algorithms step-by-step directions are difficult to create but can make all the difference when developing a new application. This book discusses the most current algorithms available that will maximize your programming keeping in mind the memory and real-time constraints of the architecture with which you are working.

A wide range of algorithms is covered detailing basic and advanced multimedia implementations, along with, cryptography, compression, and data error correction.

Digital Media Processing: DSP Algorithms Using C

The general implementation concepts can be integrated into many architectures that you find yourself working with on a specific project. Analog Devices' BlackFin technology is used for examples throughout the book. Its breadth of topics is also wide, yet deep. Well worth my time reading. The job of an embedded programmer covers a lot more ground than it once did. Whether it's a general-purpose processor with math capabilities or a math processor with general-purpose abilities, one programmer may now do the job previously done by a complete team.

This means that--after writing the display subroutines and the knob subroutines and the ISRs--the engineer now has DSP ahead. This is a great book to help get there.

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It presents a number of perennial problems filters, transforms, etc in such a way that you have the tools to reduce the problem toward your particular platform. The very first example is the basic dot-product. Author Malepati codes and recodes the solution, more and more specifically to the target processor.

A good engineer will be able to apply this sort of thinking to any processor. The bulk of the book deals with all sorts of applications, from data compression to image processing to communications to error correction.

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Some elementary calculus is required, but the reader will not face page upon page of equations. At each casting of the problem, we find ourselves getting closer to the machine that runs the math. Only at the very end do we see source code.

Digital Media Processing: DSP Algorithms Using C Digital Media Processing: DSP Algorithms Using C
Digital Media Processing: DSP Algorithms Using C Digital Media Processing: DSP Algorithms Using C
Digital Media Processing: DSP Algorithms Using C Digital Media Processing: DSP Algorithms Using C
Digital Media Processing: DSP Algorithms Using C Digital Media Processing: DSP Algorithms Using C
Digital Media Processing: DSP Algorithms Using C Digital Media Processing: DSP Algorithms Using C
Digital Media Processing: DSP Algorithms Using C Digital Media Processing: DSP Algorithms Using C
Digital Media Processing: DSP Algorithms Using C Digital Media Processing: DSP Algorithms Using C
Digital Media Processing: DSP Algorithms Using C Digital Media Processing: DSP Algorithms Using C
Digital Media Processing: DSP Algorithms Using C

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