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搜索结果: 1-15 共查到Data Compression相关记录20条 . 查询时间(0.105 秒)
The Data Compression Conference (DCC) is an international forum for current work on data compression and related applications. Compression of specific types of data (text, images, video, etc.). Comp...
The recording and transfer rates of digital imaging systems can not keep abreast of the actual captured amount of data.Because the compression rates of standard loss-less techniques are still too low,...
Data compression and definability of types in stable and dependent formulas.
Data indexing and compression procedures have enabled several significant advances in the application of spatial data. Data coverage, portability, transfer, multi-scale representation (pyramids), quer...
A case is made that Mach’s principle of “economy of thought”, and therefore usefulness, is related to the compressibility of data, but that a mathematical expression may compress data for reasons that...
This paper introduces the author's work on the compression of vector geospatial data intended for transport on the Internet. WebGIS vector data format is shifting to ASCII code such as XML. In some ap...
The artificial neural networks are nice tools in the thematic mapping. The classification procedure requires carefully prepared training set. The research was aimed to show the effect of the generally...
Before writing data to a storage medium or transmitting across a transmission medium lossless compression is often used. Storage space or transmission bandwidth is saved by compression; when the data ...
NAND flash memories are popular due to their density and lower cost. However, due to serial access, NAND flash memories have low read and write speeds. As the flash sizes increase to 64GB and beyond, ...
Data compression, in the process of Satellite Earth data transmission, is of great concern to improve the efficiency of data transmission. Information amounts inherent to remote sensing images provide...
We consider the computational aspects of lossy data compression problem, where the compression error is determined by a cover of the data space. We propose an algorithm which reduces the number of par...
Consider the decentralized estimation of an unknown parameter by bandwidth constrained sensor network with a fusion center. Local sensors make observations which are linearly scaled versions of these ...
Abstract: Huffman compression is a statistical, lossless, data compression algorithm that compresses data by assigning variable length codes to symbols, with the more frequently appearing symbols give...
Abstract: We propose a rigorous analysis approach for the subset sum problem in the context of lossless data compression, where the phase transition of the subset sum problem is directly related to th...

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