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1Sensor redundancy management

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“Sensor redundancy management” Metadata:

  • Title: Sensor redundancy management
  • Author:
  • Language: English
  • Publisher: ➤  National Aeronautics and Space Administration
  • Publish Date:
  • Publish Location: [Washington, D.C

“Sensor redundancy management” Subjects and Themes:

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Access and General Info:

  • First Year Published: 1983
  • Is Full Text Available: No
  • Is The Book Public: No
  • Access Status: No_ebook

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    Cyclic redundancy check

    A cyclic redundancy check (CRC) is an error-detecting code commonly used in digital networks and storage devices to detect accidental changes to digital

    Entropy coding

    In information theory, an entropy coding (or entropy encoding) is any lossless data compression method that attempts to approach the lower bound declared

    Code

    commonly used characters. Today, UTF-8, an encoding of the Unicode character set, is the most common text encoding used on the Internet. Biological organisms

    Huffman coding

    Construction of Minimum-Redundancy Codes". The output from Huffman's algorithm can be viewed as a variable-length code table for encoding a source symbol (such

    Data compression

    be encoded as "279 red pixels". This is a basic example of run-length encoding; there are many schemes to reduce file size by eliminating redundancy. The

    Delta encoding

    – delta encoding greatly reduces data redundancy. Collections of unique deltas are substantially more space-efficient than their non-encoded equivalents

    Redundancy (information theory)

    negative, one says the set of variables is redundant. Minimum redundancy coding Huffman encoding Data compression Hartley function Negentropy Source coding

    Joint encoding

    In audio engineering, joint encoding is the joining of several channels of similar information during encoding in order to obtain higher quality, a smaller

    Variable-length quantity

    techniques to remove the redundancy. Google developed Group Varint Encoding (GVE) after observing that traditional VLQ encoding incurs many CPU branches

    Lossless compression

    The adaptive encoding uses the probabilities from the previous sample in sound encoding, from the left and upper pixel in image encoding, and additionally