A system and method for the efficient compression of the Channel State Information (CSI) in a wireless network with very low complexity and implementation cost. In accordance with the present invention, the CSI can be approximated as the summation of very few sinusoids on constant frequencies and the parameters of the sinusoids can be found efficiently by very simple calculations such as dot products of vectors which are implementable in hardware at very low cost.

A network node (501) determines parameters (503) indicating a compression function for compressing downlink channel estimates, and a decompression function. The network node transmits the parameters, receives compressed downlink channel estimates (504), and decompresses the compressed downlink channel estimates using the decompression function. A terminal device (502) receives the parameters, forms the compression function, compresses downlink channel estimates using the compression function, and transmits the compressed downlink channel estimates. The compression function comprises a first function formed based on at least some of the parameters, a second function which is non-linear, and a quantizer. The first function is configured to receive input data, and to reduce a dimension of the input data. The decompression function comprises a first function configured to receive input data and provide output data in a higher dimensional space than the input data, and a second function which is non-linear.

A method of data reduction in a block-based data storage system includes selecting a starting position in a block based on a deterministic function of block data content. Then for an unaligned block beginning at the selected starting position, a block digest (e.g., block hash) is generated and compared with stored block digests of stored data blocks. If there is a match, and the stored block matches the unaligned block, then a reference to the stored block is stored in place of the unaligned block, and otherwise the unaligned block and a corresponding digest are stored. The storing of references to already stored blocks, without the constraint of observing aligned-block boundaries, realizes increased savings of physical storage space.

A method for automatically converting electronic data is disclosed. The method comprises scanning a source data table containing data fields; determining a feature for each of the data fields of the source data table; comparing the feature for each of the data fields with a feature rule for identifying user-identity-containing data fields in the source data table; identifying a first data field of the source data table as containing user identity when the feature of the first data field matches the feature rule; identifying a second data field of the source data table as containing no user identity when the feature of the second data field fails to match the feature rule; converting the source data table by replacing data items of the first data field in the source data table identified as containing user identity with corresponding third-party user accounts, and keeping the second data field in the source data table identified as not containing user identity unaltered; and storing the converted data table in a storage medium.

A method, device, and system for data compression and decompression are provided. The method for data compression comprises, converting data to be transmitted within each period, from the time domain to the frequency domain, wherein, a default time length is set as a period; identifying weak power frequencies in the frequency domain data according to a set identification rule; weighting data transmitted on the identified weak power frequencies to obtain corresponding weighting information; converting other data converted to the frequency domain and the weighted data back to time domain; compressing the data converted back to the time domain; and transmitting, the compressed data along the weighting information.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may encode a data set using one or more extraction operations and compression operations associated with a neural network, the one or more extraction operations and compression operations being based at least in part on a set of features of the data set to produce a compressed data set. The first device may transmit the compressed data set to a second device. Numerous other aspects are provided.

Techniques for writing data to a subset of memory devices are described. In one aspect, a block of data to be written to a line in a rank of memory may be received. The rank of memory may comprise a set of memory devices. The block of data may be compressed. The compressed block of data may be written to a subset of the memory devices that comprise the line. The unwritten portions of the line may not be used to store valid data.

A digital down converter includes a low resolution mixer, a decimation filter, and a high resolution mixer. The low resolution mixer is configured to receive a digitized radio frequency signal, and apply a first down conversion to the radio frequency signal to produce an intermediate frequency signal. The decimation filter is coupled to the low resolution mixer. The decimation filter is configured to receive the intermediate frequency signal, and reduce a sampling rate of the intermediate frequency signal to produce a decimated intermediate frequency signal. The high resolution mixer is coupled to the decimation filter. The high resolution mixer is configured to receive the decimated intermediate frequency signal, and apply a second down conversion to the decimated intermediate frequency signal to produce a down converted signal.

A multi-channel signal encoding method includes determining a downmixed signal of a first channel signal and a second channel signal in a multi-channel signal, and reverberation gain parameters corresponding to different subbands of the first channel signal and the second channel signal, where the obtained reverberation gain parameters are belonging to at least two reverberation gain parameter groups. The method further includes selecting, from the at least two reverberation gain parameter groups, a target reverberation gain parameter group. The method further includes generating parameter indication information, where the parameter indication information indicates the target reverberation gain parameter group. The method further includes encoding reverberation gain parameters corresponding to the target reverberation gain parameter group, the parameter indication information, and the downmixed signal to obtain a bitstream.

An information processing apparatus includes an acquisition unit that acquires first position information indicating a position of a target object in a target region and a generation unit that generates, on the basis of the first position information, second position information including area mesh information that indicates a target area mesh containing the target object and included in plural area meshes produced by dividing the target region in a first direction and a second direction such that a division number in the second direction varies for each position in the first direction in the target region and relative position information that indicates a position of the target object in the target area mesh. The present technology is applicable to a transmission device and a reception device.