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To tackle these issues, we propose a polymorphic compression architecture that interleaves these techniques in a unique platform.
To achieve these goals, we also propose a novel video compression architecture, incorporating saliency, to save tremendous amount of computation.
Fig. 1 Content-centric cloud compression architecture of frequency domain transformation.
This paper presents a very low-memory wavelet compression architecture for implementation in severely constrained hardware environments such as wireless sensor networks (WSNs).
About research of coding and cloud computing, a new inter-level cloud compression architecture and algorithm was presented by Gupta et al. [17] which was suggested to implement inter-level compression algorithm.
A softcore microprocessor-based hardware implementation on a field programmable gate array (FPGA) is presented for verifying the strip-based wavelet compression architecture and software simulations are presented to verify the performance of the degree-0 zerotree coding scheme.
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Test compression architectures designed to reduce test data volume and test application time are discussed.
This includes a description of advanced low-power and at-speed test compression architectures practiced in industry.
The need for highly efficient video compression architectures maintaining lightweight encoding remains challenging in the context of wireless video capturing devices that have only modest computational capacity or operate on limited battery life.
Energy efficient video compression architectures for CMOS image sensors with focal-plane change detection are presented and analyzed.
The compressed outputs of this sequence were used to generate the data for each of the compression architectures.
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CEO of Professional Science Editing for Scientists @ prosciediting.com