Search Results for "data visualization, research"
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10 projects for "data visualization, research" with 2 filters applied:
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Slim is a data compression system for scientific data sets, a binary and a library with C linkage. Slim works with integer data from one or more channels in a file, which it can compress more effectively and more rapidly than general tools like gzip.
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LPC-Rice HDF5 filter
Multi-threaded HDF5 filter implementing the LPC-Rice codec
Multi-threaded HDF5 filter implementing the LPC-Rice codec. This lossless codec is intended to compress correlated signal data, such as image data, stored in HDF5 chunks. The codec/filter is optimized for both compression and decompression speed, but compression ratios are still comparable to JPEG-LS and CCSDS-123 codecs. -
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This project has been moved to https://github.com/inikep/XWRT XWRT (XML-WRT) is a high-performance XML compressor (it also works with textual files). It transforms XML to more compressible form and uses zlib (default), LZMA, PPMd, or lpaq6 as back-end compressor. It is similar to XMill, but has many improvements.
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SEG-Y files need special compression because they don't compress well using gzip and the like. The code is cross-platform C++ using nothing else than standard system libraries. This is a spin-off from the OpendTect project (http://opendtect.org).
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CADI is an implementation of the JPIP standard (JPEG2000 Interactive Protocol - Part 9). CADI includes a JPIP server, a JPIP proxy, and a JPIP Client. CADI is designed and programmed with the aim to provide a flexible framework to test and develop ne
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PyramidWorkshop is an image-compression System based upon the scientific work of John Robinson (inventor of BTPC) about image-compression with adaptive linear predictors and is in average more efficient than PNG/JPEG2000.
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StormRT is a real-time multi-resolution analysis and compression package for data compression and temporal feature detection over multiple timescales.
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Alternative approach to minimum redundancy coding (fixed-length) without using tree data structures. The main advantages are simplicity and flexibility.
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XMill is a user-configurable XML compressor. It separates structure, layout and data and distributes data elements into separate data streams (int, char, string, base64, etc). This distribution is user-definable. gzip, bzip2 or ppmdi compresses these str
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