H03M7/6011

Method for post-processing an output of a random source of a random generator
09720650 · 2017-08-01 · ·

A method and an assemblage for post-processing an output of a random source of a random generator are presented. In the method, an output signal of the random source is compressed, thereby yielding a sequence of compressed signal values that are checked in terms of their distribution.

Multi-symbol, multi-format, parallel symbol decoder for hardware decompression engines

In some data compression algorithms and/or standards, the compressed data comprises variable length symbols. A set of parallel decoders speculatively decode/decompress a window (i.e., sub-block) of data. Each of the decoders attempts to decode/decompress a symbol that starts at a different location in the compressed data block. Once the decoders have finished decoding a symbol (or determined that a valid symbol does not begin at the beginning of the window assigned to that decoder), a symbol strider selects the decoder outputs corresponding to valid symbols. The symbol strider successively selects decoder outputs based on the size of the previous symbols that were found to be valid. When the next valid symbol begins outside the current window, its location is stored to indicate the location of the next valid symbol in a subsequent window.

Data storage in blockchain-type ledger
11249987 · 2022-02-15 · ·

This disclosure relates to data storage in a blockchain-type ledger storing data based on a blockchain data structure. In one aspect, a method includes obtaining service data. A compression threshold on which selection of a target object for performing data compression is based is determined. The target object includes a client device or a database server. At least one of a hardware performance parameter or a network performance parameter is obtained. A compression weight is determined based on at least one of the hardware performance parameter or the network performance parameter. When the compression weight is greater than a predetermined value, data compression is performed on the service data at the client device. When the compression weight is less than or equal to the predetermined value, the client device sends the service data to the database server so that the database server performs data compression on the service data.

Incorporating data into a voice signal with zero overhead
11250867 · 2022-02-15 · ·

A vocoder system incorporates situational awareness data into unused bits in the trailing bytes of the vocoder frames by dividing the situational awareness data according to the number of known blank bits in each vocoder frame and incorporating the data, in order, such that the receiving system can extract and reconstruct the situational awareness data. Synchronization signals of predefined bit streams are incorporated to allow the receiving system to more accurately identify situational awareness bits in the trailing byte.

Low-latency encoding using a bypass sub-stream and an entropy encoded sub-stream
11398833 · 2022-07-26 · ·

A system comprises an encoder configured to entropy encode a bitstream comprising both compressible and non-compressible symbols. The encoder parses the bitstream into a compressible symbol sub-stream and a non-compressible sub-stream. The non-compressible symbol sub-stream bypass an entropy encoding component of the encoder while the compressible symbol sub-stream is entropy encoded. When a quantity of bytes of entropy encoded symbols and bypass symbols is accumulated a chunk of fixed or known size is formed using the accumulated entropy encoded symbol bytes and the bypass bytes without waiting on the full bitstream to be processed by the encoder. In a complementary manner, a decoder reconstructs the bitstream from the packets or chunks.

ADDITIONAL COMPRESSION FOR EXISTING COMPRESSED DATA
20210409037 · 2021-12-30 ·

Techniques are provided for implementing additional compression for existing compressed data. Format information stored within a data block is evaluated to determine whether the data block is compressed or uncompressed. In response to the data block being compressed according to a first compression format, the data block is decompressed using the format information. The data block is compressed with one or more other data blocks to create compressed data having a second compression format different than the first compression format.

Mixed-precision compression with random access
11211944 · 2021-12-28 · ·

A data compressor includes a zero-value remover, a zero bit mask generator and a non-zero values packer. The zero-value remover receives 2.sup.N bit streams of values and outputs 2.sup.N non-zero-value bit streams having zero values removed from each respective bit stream based on a selected granularity of compression for values contained in the bit streams. The zero bit mask generator receives the 2.sup.N bit streams of values and generates a zero bit mask corresponding to the selected granularity of compression. Each zero bit mask indicates a location of a zero value based on the selected granularity of compression. The non-zero values packer receives the 2.sup.N non-zero-value bit streams and forms at least one first group of packed non-zero values.

Storage device and data processing method

The present invention realizes a storage device that has a high data reduction effect without decreasing I/O performances. The storage device includes a processor, an accelerator, a memory, and a storage medium, the processor specifies data to be compressed that is data stored in the storage medium from data stored in the memory and transmits a compression instruction including information relating to the data to be compressed to the accelerator, and the accelerator reads the plurality of continuous items of data from the memory and compresses the plurality of items of data to be compressed obtained by excluding data that is not to be compressed from the plurality of items of data, based on the information relating to the data to be compressed received from the processor, to generate compressed data stored in the storage device.

Retrieving Data in a Storage Network
20210397349 · 2021-12-23 ·

A method for execution by a dispersed storage and task (DST) client module includes issuing a read threshold number of read slice requests are issued to storage units of the set of storage units. One or more encoded slices of a selected read threshold number of encoded slices are received. When a next encoded data slice of a decode threshold number of encoded data slices is received within a response timeframe, outputting of the next encoded data slice is initiated. When the next encoded data slice is not received within the response timeframe, receiving of another decode threshold number of encoded slices of the set of encoded slices is facilitated. The other decode threshold number of encoded slices are decoded to produce recovered encoded data slices, where the recovered encoded data slices includes at least a recovered next encoded data.

Outputting of the recovered next encoded data slice is initiated.

CHANNEL-PARALLEL COMPRESSION WITH RANDOM MEMORY ACCESS
20210399740 · 2021-12-23 ·

A data compressor a zero-value remover, a zero bit mask generator, a non-zero values packer, and a row-pointer generator. The zero-value remover receives 2.sup.N bit streams of values and outputs 2.sup.N non-zero-value bit streams having zero values removed from each respective bit stream. The zero bit mask generator receives the 2.sup.N bit streams of values and generates a zero bit mask for a predetermined number of values of each bit stream in which each zero bit mask indicates a location of a zero value in the predetermined number of values corresponding to the zero bit mask. The non-zero values packer receives the 2.sup.N non-zero-value bit streams and forms a group of packed non-zero values. The row-pointer generator that generates a row-pointer for each group of packed non-zero values.