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Secured Hardware Accelerators for DSP and Image Processing Applications

algorithms are presented, and their roles in the design of secured hardware accelerators for DSP, multimedia and image processing applications are;

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Digital Signal Processing

analytical procedures that form the basis for modern DSP applications. Digital Signal Processing: Principles, Algorithms and System Design;

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Digital Signal Processing (DSP)

DSP systems. The DSP theory and hardware for obscured object identification, and its applications in the intelligent baggage scanners are;

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Acceleration of Biomedical Image Processing with Dataflow on FPGAs

Short compute times are crucial for timely diagnostics in biomedical applications, but lead to a high demand in computing for new and;

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Digital and Statistical Signal Processing

applications of DSP can be implemented in certain programming environments designed for real time systems, ex. biomedical signal analysis and medical;

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Digital and Statistical Signal Processing

applications of DSP can be implemented in certain programming environments designed for real time systems, ex. biomedical signal analysis and medical;

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One- and Multidimensional Signal Processing

With the constant increase in applications involving image processing and multimedia procedures digital signal processing (DSP;

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Digital Signal Processing Techniques and Applications in Radar Image Processing

for graduate students and practicing engineers who wish to gain firsthand experience in applying DSP principles and technologies to radar;

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Real-Time Digital Signal Processing

current advances of DSP that are of most relevance for the intended readership. * Combines both the DSP principles and real-time implementations;

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An Introduction to Digital Signal Processing

undergraduate curriculum as a simplified version of the latter. The goal was to study DSP concepts and to provide a foundation for further research;

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth;

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Towards Ubiquitous Low-power Image Processing Platforms

tools and embedded operating systems. Several of the results are available as open-source hardware/software for the community. The results are;

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Design for Embedded Image Processing on FPGAs

provides the link between a software mindset normally associated with image processing algorithms, and the hardware mindset required for efficient;

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Frontiers in Securing IP Cores

This book presents advanced forensic detective control and obfuscation techniques for securing hardware IP cores by exploring beyond;

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Hardware Accelerators in Data Centers

This book provides readers with an overview of the architectures, programming frameworks, and hardware accelerators for typical cloud;

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Digital Signal Processing

for non-engineering students and practicing engineers. The book goes beyond DSP theory, showing the implementation of algorithms in hardware;

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Algorithms For Image Processing And Computer Vision

A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have;

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Applied Computer Vision and Image Processing

and image processing, this proceedings volume includes papers on image processing, computer vision, pattern recognition, and DSP/DIP;

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Practical Digital Signal Processing

-destructive testing - Digital Signal Processing (DSP). DSP is one of the most powerful technologies that has shaped science and engineering in the;

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DSP Architecture Design Essentials

In DSP Architecture Design Essentials, authors Dejan Markovic and Robert W. Brodersen cover a key subject for the successful realization;

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Digital Signal Processing: World Class Designs

solving DSP design problems and how to successfully apply theory to actual design tasks. The material has been selected for its timelessness as;

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Digital Signal Processing

basics and applications of this powerful mathematical tool for signal and image processing. The final chapter explores DSP processors, which;

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Digital Signal Processing

basics and applications of this powerful mathematical tool for signal and image processing. The final chapter explores DSP processors, which;

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Multicore DSP

The only book to offer special coverage of the fundamentals of multicore DSP for implementation on the TMS320C66xx SoC This unique book;

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Applied Multidimensional Systems Theory

revised to make it more readable for students, and introduce some new topics that are emerging as multidimensional DSP topics in the;

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Digital Signal Processing Laboratory

experience and insight the author gained on how to convey the subject of DSP to senior undergraduate and graduate students coming from varied subject;

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Digital Signal Processing

the design aspects for actual DSP systems. Objective type questions provided. MATLAB examples and problems to provide hands-on experience;

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