Systems, apparatuses, and methods for reliably transmitting data over voltage scaled links are disclosed. A computing system includes at least first and second devices connected via a link. In one implementation, if a data block can be compressed to less than or equal to half the original size of the data block, then the data block is compressed and sent on the link in a single clock cycle rather than two clock cycles. If the data block cannot be compressed to half the original size, but if the data block can be compressed enough to include error correction code (ECC) bits without exceeding the original size, then ECC bits are added to the compressed block which is sent on the link at a reduced voltage. The ECC bits help to correct for any errors that are generated as a result of operating the link at the reduced voltage.

An apparatus comprises a first storage system comprising a plurality of storage devices. The first storage system is configured to participate in a replication process with a second storage system. The first storage system is further configured to identify data to be replicated to the second storage system as part of the replication process, to obtain information characterizing network behavior of at least one network connecting the first storage system to the second storage system, to select a compression method from a set of available compression methods based on the obtained information characterizing the network behavior of said at least one network, to compress the data to be replicated to the second storage system utilizing the selected compression method, and to provide the compressed data to the second storage system.

In a compression mode in which plaintext data is input, and compressed, a first code that is an error detection code is generated with respect to the plaintext data, and compressed. A circuit generates restored plaintext data in which the compressed data is decompressed, for confirming successfulness. A second code that is an error detection code is generated with respect to the restored plaintext data and is compared with the first code. In a case where the first code and the second code agree, the compressed data and the first or second code are output. In a decompression mode, plaintext data is generated in which the input compressed data is decompressed. A third code that is an error detection code is generated with respect to the plaintext data and is compared with an input code, and when the input code and the third code agree, the plaintext data is output.

A method for execution by a computing device of a dispersed storage network (DSN) begins by receiving a data segment for dispersed storage error encoding. Prior to encoding, the method continues by determining whether to compress the data segment by predicting a first estimated processing cost (EPC) based on EPCs to dispersed storage error decode a compressed set of encoded data slices to recover a compressed data segment and EPCs to decompress the compressed data segment to recover the data segment and by predicting a second EPC based on EPCs to dispersed storage error decode the set of encoded data slices to recover the data segment. When the first EPC compares favorably to the second EPC, the method continues by compressing the data segment to produce the compressed data segment and dispersed storage error encoding the compressed data segment to produce the compressed set of encoded data slices.

A data compression method and a data decompression method are provided. The method includes pruning an original data including a plurality of weight parameters, identifying at least one first weight parameter of which at least one first value is not changed by the pruning, among multiple weight parameters included in the pruned original data, and obtaining a first index data including location information of the at least one first weight parameter of which the at least one first value is not changed, identifying at least one second weight parameter of which at least one second value is changed by the pruning, among the multiple weight parameters included in the pruned original data, and substituting the at least one second weight parameter of which the at least one second value is changed with a don't care parameter.

Systems, media, and methods for virtualized data compression are provided. For example, a stream of numbered sequences may be generated by transforming an input stream into a sequence of samples each having a predetermined amplitude and a predetermined length. An error correction protocol may be applied through an analysis of a number of bits. A compression routine may be implemented by choosing a number of threads and determining compression depth. The stream analyze may be analyzed utilizing independent component analysis. A specified compression routine may be executed. An output file size may be determined.

A method for optical communication includes combining jointly source coding with LDPC channel coding into a nonuniform signalling by mapping low-complexity variable-length prefix codes onto a constellation; and performing arbitrary nonuniform signalling, where information bits and parity bits are transmitted with different modulation schemes.

A remote vehicle control system includes a vehicle mounted sensor system including a video camera system for producing video data and a distance mapping sensor system for producing distance map data. A data handling system is used to compress and transmit both the video and distance map data over a cellular network using feed forward correction. A virtual control system acts to receive the video and distance map data, while providing a user with a live video stream supported by distance map data. Based on user actions, control instructions can be sent to the vehicle mounted sensor system and the remote vehicle over the cellular network.

This application discloses a polar encoding method and apparatus and a polar decoding method and apparatus, to apply polar codes to source coding and decoding, to improve source coding and decoding performance. The method may be implemented by using the following steps: obtaining to-be-encoded source bits; performing first polar encoding on the to-be-encoded source bits to obtain encoded source bits, where the first polar encoding includes first transformation and second transformation, the first transformation is polarization transformation, a mother code length corresponding to the first transformation is Ns, the polarization transformation is performed on the to-be-encoded source bits to obtain first source bits, and the second transformation is performed on the first source bits to obtain the encoded source bits; determining assistance information based on the first source bits; and outputting a source coding codeword, where the source coding codeword includes the encoded source bits and the assistance information.

Spatial-temporal compression of sensing data from a plurality of sensors involves using a plurality of sensors to obtain measured physical data associated with a plurality of sensed elements. At each of a plurality of sampling times a set of N sampled data is acquired from the N sensed elements corresponding to the measured physical data. The sets of sampled data are analyzed to obtain statistical characteristic information. Thereafter, one or more frames of compressed data is generated using the statistical characteristic information to facilitate temporal and spatial data compression.