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Titlebook: VLSI Synthesis of DSP Kernels; Algorithmic and Arch Manesh Mehendale,Sunil D. Sherlekar Book 2001 Springer Science+Business Media New York

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書(shū)目名稱VLSI Synthesis of DSP Kernels
副標(biāo)題Algorithmic and Arch
編輯Manesh Mehendale,Sunil D. Sherlekar
視頻videohttp://file.papertrans.cn/981/980103/980103.mp4
圖書(shū)封面Titlebook: VLSI Synthesis of DSP Kernels; Algorithmic and Arch Manesh Mehendale,Sunil D. Sherlekar Book 2001 Springer Science+Business Media New York
描述A critical step in the design of a DSP system is to identifyfor each of its components (DSP kernels) an implementationarchitecture that provides the desired degree offlexibility/programmability and optimises thearea-delay-power parameters. The book covers the entiresolution space comprising both hardware multiplier-based andmultiplex-less architectures that offer varying degrees ofprogrammability. For each of the implementation styles, severalalgorithmic and architectural transformations are proposed so as tooptimally implement weighted-sum based DSP kernels over thearea-display-power space. ..VLSI Synthesis of DSP Kernels. presents the following:. Six different target implementation styles -. . Programmable DSP-based implementation; ..Programmable processors with no dedicated hardware multiplier; ..Implementation using hardware multiplier(s) and adder(s); ..Distributed Arithmetic (DA)-based implementation; .. ResidueNumber System (RNS)-based implementation; and .. Multiplier-lessimplementation (using adders and shifters) for fixed coefficient DSPkernels. .. .. For each of the implementation styles,description and analysis of several algorithmic and architecturaltransformations aim
出版日期Book 2001
關(guān)鍵詞Hardware; Signal; VLSI; algorithms; architecture; digital signal processor; software; tables
版次1
doihttps://doi.org/10.1007/978-1-4757-3355-6
isbn_softcover978-1-4419-4904-2
isbn_ebook978-1-4757-3355-6
copyrightSpringer Science+Business Media New York 2001
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Multiplier-Less Implementation,pace conversion kernels such RGB-to-YUV. Since the coefficients are fixed, the flexibility of a multiplier is not necessary and an efficient implementation of such transforms can be obtained using adders and shifters. This chapter presents techniques for area efficient implementation of fixed coeffi
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A Framework for Algorithmic and Architectural Transformations, different implementation styles. This chapter proposes a framework that encapsulates these transformations and enables a systematic exploration of the area-delay-power solution space. The framework is based on a classification of the transformations into seven categories which exploit unique proper
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