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Showing 1 to 6 of 6 for “"Data compression (Computer Science)"”.

  1. Data compressive paradigm for spectral sensing and classification using electrically tunable detectors

    … and (3) development of a generalized filter-free data-compressive spectral sensing paradigm using the DWELL detector that enables arbitrarily specified MS sensing (e.g., spectral matched filtering, slope sensing, multicolor sensing, etc.) without using any spectral filters and possibly under …

    unm Repository record for Data compressive paradigm for spectral sensing and classification using electrically tunable detectors (opens in a new tab)

  2. Space/time/frequency methods in adaptive radar

    … with respect to their performance in noisy SAR data to estimate the instantaneous Doppler frequency of range compressed SAR data. It is shown that these methods exhibit sharp signal-to-noise threshold effects. The space-time radar problem is well suited to the application of techniques that take …

    njit Repository record for Space/time/frequency methods in adaptive radar (opens in a new tab)

  3. Data compression application to the MIL-STD 1553 avionics data bus.

    … ceiling in memory space, processing power, and data-bus through-put (bandwidth), a need has arisen to maximize its limited resources to avoid extensive costs of system overhaul. Specifically, F/A-18 C/D Aircraft is approaching message capacity on its MIL-STD-1553 buses. To slow this assent to …

    baylor Repository record for Data compression application to the MIL-STD 1553 avionics data bus. (opens in a new tab)

  4. Higher Compression from the Burrows-Wheeler Transform with New Algorithms for the List Update Problem

    Burrows-Wheeler compression is a three stage process in which the data is transformed with the Burrows-Wheeler Transform, then transformed with Move-To-Front, and finally encoded with an entropy coder. Move-To-Front, Transpose, and Frequency Count are some of the many algorithms used on the List …

    unt Repository record for Higher Compression from the Burrows-Wheeler Transform with New Algorithms for the List Update Problem (opens in a new tab)

  5. Motion compensated compression for event-based cameras

    lethbridge