Log messages are compressed, searched, and decompressed. A dictionary is used to store non-numeric expressions found in log messages. Both numeric and non-numeric expressions found in log messages are represented by placeholders in a string of log “type” information. Another dictionary is used to store the log type information. A compressed log message contains a key to the log-type dictionary and a sequence of values that are keys to the non-numeric dictionary and/or numeric values. Searching may be performed by parsing a search query into subqueries that target the dictionaries and/or content of the compressed log messages. A dictionary may reference segments that contain a number of log messages, so that all log message need not be considered for some searches. Compressed logs may be stored and queried on the basis of log type.

The present disclosure includes a system, method, and article of manufacture for lossless compression of data and high speed manipulation of the data. The method may comprise associating a customer with a plurality of levels, and counting, in near real time, a number of transactions at each level in the plurality of levels based on a transaction history of the customer at each of a plurality of merchants. The method may further comprise counting the number of transactions during a time period. Similarly, the method may comprise determining an opportunity comprising an offer based upon the counting, determining an opportunity based upon a count indicating a transaction by the customer with a merchant, and/or determining an opportunity with a first merchant based upon a count indicating a transaction by the customer with a second merchant.

The present disclosure includes a system, method, and article of manufacture for lossless compression of data and high speed manipulation of the data. The method may comprise associating a customer with a plurality of levels, and counting, in near real time, a number of transactions at each level in the plurality of levels based on a transaction history of the customer at each of a plurality of merchants. The method may further comprise counting the number of transactions during a time period. Similarly, the method may comprise determining an opportunity comprising an offer based upon the counting, determining an opportunity based upon a count indicating a transaction by the customer with a merchant, and/or determining an opportunity with a first merchant based upon a count indicating a transaction by the customer with a second merchant.

A computer-implemented method for compressing a data set, the method comprising receiving a first data block of the data set, selecting automatically by a compression management module a compression module from a plurality of compression modules to apply to the first data block based on projected compression efficacy or resource utilization, and compressing the first data block with the selected compression module to generate a first compressed data block.

A transducer system has 1) a MEMS transducer configured to produce an analog output signal in response to an incident acoustic signal, and 2) a modulator apparatus. The modulator apparatus includes an analog modulator configured to receive the analog output signal and produce a first digital signal as a function of the analog output signal. In addition, the modulator apparatus also has a digital converter configured to receive the first digital signal and produce a second digital signal as a function of the first digital signal. The analog modulator has an analog order while, in a corresponding manner, the digital converter has a digital order. Preferably, the digital order is higher than the analog order.

A system and method for storing compressed data in a memory system includes identifying user data to be compressed and compressing pages of user data to form data extents that are less than or equal to the uncompressed data. A plurality of compressed pages are combined to a least fill a page of the memory. The data may be stored as sectors of a page, where each sector includes a CRC or error correcting code for the compressed data of that sector. The stored data may also include error correcting code data for the uncompressed page and error correcting code for the compressed page. When data is read in response to a user request, the sector data is validated using the CRC prior to selecting the data from the read sectors for decompression, and the error correcting code for the uncompressed page may be used to validate the decompressed data.

Embodiments of the invention may be used to implement a rate converter that includes: 6 channels in forward (audio) path, each channel having a 24-bit signal path per channel, an End-to-end SNR of 110 dB, all within the 20 Hz to 20 KHz bandwidth. Embodiment may also be used to implement a rate converter having: 2 channels in a reverse path, such as for voice signals, 16-bit signal path per channel, an End-to-end SNR of 93 dB, all within 20 Hz to 20 KHz bandwidth. The rate converter may include sample rates such as 8, 11.025, 12, 16, 22.05, 24, 32 44.1, 48, and 96 KHz. Further, rate converters according to embodiments may include a gated clock in low-power mode to conserve power.

Embodiments of the invention may be used to implement a rate converter that includes: 6 channels in forward (audio) path, each channel having a 24-bit signal path per channel, an End-to-end SNR of 110 dB, all within the 20 Hz to 20 KHz bandwidth. Embodiment may also be used to implement a rate converter having: 2 channels in a reverse path, such as for voice signals, 16-bit signal path per channel, an End-to-end SNR of 93 dB, all within 20 Hz to 20 KHz bandwidth. The rate converter may include sample rates such as 8, 11.025, 12, 16, 22.05, 24, 32 44.1, 48, and 96 KHz. Further, rate converters according to embodiments may include a gated clock in low-power mode to conserve power.

A method of data compression in which the total size of the compressed data is determined and based on that determination, the bit depth of the input data may be reduced before the data is compressed. The bit depth that is used may be determined by comparing the calculated total size to one or more pre-defined threshold values to generate a mapping parameter. The mapping parameter is then input to a remapping element that is arranged to perform the conversion of the input data and then output the converted data to a data compression element. The value of the mapping parameter may be encoded into the compressed data so that it can be extracted and used when subsequently decompressing the data.

The present disclosure pertains to systems and methods to compress an input signal representing a parameter in an electric power system. In one embodiment, a system includes a data acquisition subsystem to receive an input signal comprising a plurality of high-speed representations of electrical conditions. A linear prediction subsystem generates an excitation signal estimate based on the input signal, a plurality of linear prediction coefficients based on the input signal, and an estimated signal based on the excitation signal estimate and the plurality of linear prediction coefficients. An error encoding subsystem may generate an encoding of an error signal based on a difference between the input signal and the estimated signal. A non-transitory computer-readable storage medium may store an encoded and compressed representation of the input signal comprising the excitation signal estimate, the plurality of linear prediction coefficients, and the encoding of the error signal.