H03M7/6041

DATA DECOMPRESSION TECHNOLOGIES

Examples described herein relate to an accelerator configured to: perform offloaded decompression of multiple frames of data based on a data compression format, wherein the perform offloaded decompression of the multiple frames of data comprises: based on failure to decompress a frame of the multiple frames of the data: indicate, to a requester, device data identifying at least one of: a successfully decompressed frame of the multiple frames of data or an unsuccessfully decompressed frame.

Locked raid with compression for memory interconnect applications having a shared cache line

Provided is a device that includes an interface operatively coupled to a locked redundant array of independent disks (LRAID) including M (M>1) memory dice, the M memory dice stores stripes of data, and each stripe spanning over the M memory dice; and control circuitry that performs data compression on data to generate compressed data; stores the compressed data in the stripes; generates parity data of each stripe; determines, for each stripe, memory dice required to store the compressed data; determines, for each stripe, whether memory dice required to store the compressed data in each stripe is N memory dice or less; where N is an integer less than M; and determines, for each stripe, which stripes will store the parity data of a respective stripe based on the determination of whether the memory dice required to store the compressed data in the respective stripe is N memory dice or less.

OPTIMIZING LOSSY COMPRESSION FOR NONHOMOGENEOUS MULTIVARIATE BLACK-BOX CLASSIFICATION MODELS

A service compresses a data set in accordance with a data compression rate, resulting in generation of compressed data having a first data quality. The service decompresses the compressed data, resulting in generation of decompressed data. The service filters, from the decompressed data, data that is identified as belonging to a selected class of data. The service causes an ML classifier to perform a classification operation on the data that is identified as belonging to the selected class of data. The service determines a classification accuracy of the classification operation performed by the ML classifier. The service determines whether the classification accuracy at least meets a threshold accuracy requirement. If the threshold is met, the data compression rate is increased; otherwise, it is decreased.

METHOD AND NETWORK NODE FOR HANDLING TRANSMISSION OF NARROWBAND SIGNALS BETWEEN A RADIO PART AND A BASEBAND PART OF THE NETWORK NODE
20260128749 · 2026-05-07 ·

A method performed by a network node of a wireless communication network. The network node includes a radio part and a baseband part connected to the radio part via a communication interface, and has a plurality of antennas. The method includes obtaining, by the radio part, narrowband signals received at each of the plurality of antennas from a number of User Equipment, UE, wirelessly connected to the network node. The method further includes compressing, by the radio part, the obtained narrowband signals of the plurality of antennas so that the compressed narrowband signals as a group contains fewer number of bits than the obtained narrowband signals, wherein the compression is performed based on an individual compression error tolerance for each of at least some of the obtained narrowband signals, and sending, by the radio part, the compressed narrowband signals over the communication interface to the baseband part.