Journal ArticleDOI
The evolution of DSP processors
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TLDR
This article traces the evolution of DSP processors from early architectures to current state-of-the-art devices, highlighting some of the key differences among architectures and comparing their strengths and weaknesses.Abstract:
The number and variety of products that include some form of digital signal processing (DSP) has grown dramatically. DSP has become a key component in many consumer, communications, medical, and industrial products, which use a variety of hardware approaches to implement DSP, ranging from the use of off-the-shelf microprocessors to field-programmable gate arrays (FPGAs) to custom integrated circuits (ICs). Programmable "DSP processors", a class of microprocessors optimized for DSP, are a popular solution for several reasons: they can potentially be reprogrammed in the field, allowing product upgrades or fixes. They are often more cost-effective (and less risky) than custom hardware, particularly for low-volume applications, where the development cost of custom ICs may be prohibitive. In comparison to other types of microprocessors, DSP processors often have an advantage in terms of speed, cost, and energy efficiency. In this article, we trace the evolution of DSP processors from early architectures to current state-of-the-art devices. We highlight some of the key differences among architectures and compare their strengths and weaknesses. Finally, we discuss the growing class of general-purpose processors that have been enhanced to address the needs of DSP applications.read more
Citations
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Big Data: Survey, Technologies, Opportunities, and Challenges
Nawsher Khan,Ibrar Yaqoob,Ibrahim Abaker Targio Hashem,Zakira Inayat,Waleed Kamaleldin Mahmoud Ali,Muhammad Alam,Muhammad Shiraz,Abdullah Gani +7 more
TL;DR: This study comprehensively surveys and classifies the various attributes of Big data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security, and proposes a data life cycle that uses the technologies and terminologies of Big Data.
Journal ArticleDOI
Reconfigurable Computing for Digital Signal Processing: A Survey
Russell Tessier,Wayne Burleson +1 more
TL;DR: A survey of academic research and commercial development in reconfigurable computing for DSP systems over the past fifteen years is presented in this article, with a focus on the application domain of digital signal processing.
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Book
数字信号处理 = Understanding digital signal processing
TL;DR: Comprehensive in scope, and gentle in approach, this book will help you achieve a thorough grasp of the basics and move gradually to more sophisticated DSP concepts and applications.
References
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Book
Computer Architecture: A Quantitative Approach
TL;DR: This best-selling title, considered for over a decade to be essential reading for every serious student and practitioner of computer design, has been updated throughout to address the most important trends facing computer designers today.
Book
Understanding digital signal processing
TL;DR: In this article, the author covers the essential mathematics by explaining the meaning and significance of the key DSP equations, and the book will help to achieve a thorough grasp of the basics and move gradually to more sophisticated DSP concepts and applications.
Book
DSP Processor Fundamentals: Architectures and Features
TL;DR: DSP Processor Fundamentals presents an independent, comprehensive introduction to DSP processor technology that incorporates a broad range of today's product offerings in examples that illustrate DSP features and capabilities.
Journal ArticleDOI
Programmable DSP architectures. II
TL;DR: Three distinct techniques for dealing with pipelining, namely, interlocking, time-stationary coding, and data-stationaries coding, are examined and their effects on performance and the impact on the user are studied.