compress data

20 examples (0.03 sec)
  • In contrast, the size of a compressed data structure depends upon the particular data being represented.
  • The data not found in the window is left uncompressed in the compressed data.
  • The size of the compressed data structure is typically highly dependent upon the entropy of the data being represented.
  • They have also been used to help compress data warehouses.
  • Following this header is a series of compressed data blocks with the following structure.
  • This means that the raw compressed data is passed through between callers, without any processing.
  • Immediately following the list of files is the compressed data.
  • This is immediately followed by the compressed data.
  • They also showed that two isolated sources can compress data as efficiently as if they were communicating with each other.
  • The data format consists of a header, followed by the compressed data.
  • Converting lossily compressed data into another format usually either increases its size, or further decreases its quality.
  • A related notion is that of a compressed data structure, in which the size of the data structure depends upon the particular data being represented.
  • In this context, the peak bit rate is the maximum number of bits required for any short-term block of compressed data.
  • Compressed data may contain information about the image which may be used to categorize, search, or browse images.
  • It is known primarily for its utilities for compressing data for storage.
  • In general, there would be little to gain from attempting to use compressed data from a frame marked as undecodable.
  • The compressed data stream ends with an end-marker.
  • Compressed data may be stored in either an extended attribute or the resource fork.
  • The decompression process can be done simply by copying the repeated data from the search window according to an index in the compressed data.
  • Deleted undecodable whole frames are the principal type of data loss that affects compressed data sets.