A data compression process reduces the amount of machine spectral data transmitted over a network while maintaining the details of spectral peaks used for machine health analysis. The data compression process also provides for the calculation of various types of spectral parameters, such as spectral band parameters, with negligible loss of accuracy.

To reduce data amount while ensuring tactile reproducibility of a two-dimensional tactile signal, and improve the efficiency of a system related to tactile reproduction.

Coding is performed to compress information amount by orthogonally transforming a two-dimensional tactile signal based on a time signal. By orthogonally transforming a two-dimensional tactile signal based on a time signal, it is possible to compress information amount by removing frequency components that are difficult for humans to perceive, as in the case of an image signal, for example. Accordingly, it is possible to reduce data amount while ensuring tactile reproducibility of a two-dimensional tactile signal, and improve the efficiency of a system related to tactile reproduction.

A method of compressing image data comprising a set of image values each representing a position in image-value space so as to define an occupied region thereof. The method comprises selectively applying a series of compression transforms to subsets of the image data items to generate a transformed set of image data items occupying a compacted region of value space. The method further comprises identifying a set of one or more reference data items that quantizes the compacted region in value space. For each image data item in the set of image data items, a sequence of decompression transforms from a fixed set of decompression transforms is identified that generates an approximation of that image data item when applied to a selected one of the one or more reference data items. Each image data item in the set of image data items is encoded as a representation of the identified sequence of decompression transforms for that image data item. The encoded image data items, set of reference data items and the fixed set of decompression transforms are stored as compressed image data.

Disclosed approaches for performing a Burrows-Wheeler transform (BWT) of a sequence of data elements, S, include determining sets of less-than values and sets of equal-to values for the data elements. Index values are determined for the data elements based on the sets of less-than values. Each index value indicates a count of data elements of S that a data element is lexicographically greater than. Rank values are determined for the data elements of S based on the sets of less-than values and the sets of equal-to values. Each rank value indicates for the data element an order of the data element in the BWT relative to other ones of the data elements of equal value. Positions in the BWT of S for the data elements are selected based on the index values and rank values, and the data elements are output in the order indicated by the respective positions in the BWT.

Disclosed is a method for transmitting data via a vehicle data bus from an ultrasonic system, which comprises at least one ultrasonic transmitter and an ultrasonic receiver, to a data processing device, wherein predetermined signal profile characteristics are extracted from the echo signal received by the at least one ultrasonic receiver of the ultrasonic system. Echo signal data, which represent signal profile characteristics extracted from the echo signal, is created. Said echo signal data is transmitted from the ultrasonic system via the vehicle data bus to the data processing device.

There is provided a computer implemented method of compressing a baseline dataset comprising a sequence of a plurality of instances of a plurality of unique data elements, the method comprising: providing a weight function that calculates an increasing value for a weight for each one of the plurality of instances of each one of the plurality of unique data elements in the baseline dataset, as a function of increasing number of previously processed sequential locations of each of the plurality of instances of each respective unique data element within the baseline dataset relative to a current sequential location of the baseline dataset, computing an encoding for the baseline dataset according to a distribution of the weight function computed for the plurality of unique data elements in the baseline dataset, and creating a compressed dataset according to the encoding.

Light detection and ranging (LiDAR) systems use light pulses to create an image or point cloud of an environment. This LiDAR system and method having data encoding and compression improves the efficiency and communication reliability of point cloud data using data encoding and compression. After receiving return light pulse reflected by an object in the FOV, the system converts the detected optical signal data into raw data for the purpose of generating trigger data, encoder data, and time synchronization data from the raw data. The system further configures output data in a compressed format using the least amount of bits to carry the same amount of information defining point cloud data describing an external environment and the computational load is reduced. The compressed format comprises a data set for one baseline channel and differential channel data for one or more channels based upon the baseline channel.

A data compression process reduces the amount of machine spectral data transmitted over a network while maintaining the details of spectral peaks used for machine health analysis. The data compression process also provides for the calculation of various types of spectral parameters, such as spectral band parameters, with negligible loss of accuracy.

Preparing data for deduplication including in response to receiving a request to transfer data from a source storage system to a target storage system, accessing, by the source storage system, a compressed data block; generating, by the source storage system, a padded compressed data block by padding the compressed data block to conform to a fixed block size, wherein the fixed block size is greater than a size of the compressed data block; and sending, by the source storage system, the padded compressed data block to the target storage system.

A system and method for data compression with genomic encryption, which uses frequency analysis on data blocks within an input data stream to produce a prefix table, representing a first layer of transformation, and which applies a Burrow's-Wheeler transform (BWT) to the data inside the prefix table, representing a second layer of transformation, and which compresses the transformed data. In some implementations, the system and method may further include applying the BWT to a conditioned stream of genomic data, wherein the conditioned stream of genomic data is accompanied by an error stream comprising the differences between the original data and the encrypted data.