Titlebook: Efficient Algorithms for Discrete Wavelet Transform; With Applications to K. K. Shukla,Arvind K. Tiwari Book 2013 The Editor(s) (if applica

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https://doi.org/10.1007/978-3-642-60954-1 ideal for signal/image analysis and encoding. Hardware implementation of DWT is fast and area efficient in fixed-point arithmetic. DWT encoding has been drawing much attention because of its ability to decompose signals into a hierarchical structure that is suitable for adaptive processing in the t

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https://doi.org/10.1007/978-3-642-92261-9 its higher performance, lower cost, and sustained productivity [148]. To solve a computationally intensive problem efficiently on a cluster of existing computers, distributed computing involves a significantly lower cost factor [156]. Although it is difficult for a distributed computing user to ach

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K. K. Shukla,Arvind K. TiwariDescribes a mathematical model to predict the errors introduced in the implementation of the discrete wavelet transform (DWT) on fixed-point processors.Explores the application of DWT on benchmark sig

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SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/e/image/302959.jpg

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