Embodiments are related to systems and methods for data storage, and more particularly to systems and methods for storing and accessing data from a flash memory.

Embodiments of this application disclose a polar coding method, apparatus, and device, so as to reduce storage overheads of a system. A sequence for polar coding is obtained based on a length M of a target polar code, wherein the sequence comprises L sequence numbers, ordering of the L sequence numbers in the sequence is the same as ordering of the L sequence numbers in a maximum mother code sequence, wherein the maximum mother code sequence is obtained by sorting N sequence numbers of N polarized channels in ascending order or descending order of reliability metrics, wherein L and N are integer power of 2, M is smaller than or equal to L, L is smaller than or equal to N.

Embodiments are related to systems and methods for data storage, and more particularly to systems and methods for storing and accessing data from a flash memory.

The invention relates to the field of decoders, more specifically, to a decoding method of LDPC (Low Density Parity Check Code). The decoding method comprising: in the rwsr (Row-Wise Scanning Round) phase, the recovery circuit reads a plurality of sign bits, the absolute value of a minimum value, the absolute value of a second smallest value and the absolute value of a third smallest value which are stored previously, and they are output by a comparison and a selector, the output of the comparator and selector is shifted, and then is combined with each sign bit to obtain an update message of the previous check node, the update message is subtracted from the posterior probability by the addition circuit to obtain an input of the update unit.

A flow entry aggregation method of a network system includes classifying a plurality of flow entries into a plurality of partitions according to a plurality of indicators of the plurality of flow entries, wherein each flow entry utilizes ternary strings to represent at least one field of the flow entry and the plurality of indicators are utilized to indicating network requirements corresponding to the plurality of flow entries; and utilizing bit merging or subset merging to compress the flow entries in the same partition.

A bucket level indicator mechanism for use with work machine with a front mounted loader implement includes a carriage assembly having a carriage frame comprising a carriage back and first and second carriage endplates at longitudinal ends of the carriage back, a first end of the carriage assembly being pivotably connected to one of the masts, wherein the carriage back has a slot formed therein along a portion of its longitudinal length. At least one guide rod extends between the carriage endplates. A boom height compensating link is mounted on the upper arm section. The boom height compensating link has at least one fixed traveler configured to be received in the slot in the carriage back, the carriage assembly being mounted so as to slide relative the traveler, wherein as the loader boom is raised and lowered by extension or retraction of the lift actuator, the carriage assembly rotates relative the mast about a pivot as the traveler slides in the slot in the carriage back. A twisted strip extends between the carriage endplates supported by the carriage assembly configured to rotate relative the carriage endplates. A sliding indicator nut rides on the at least one guide rod such that the sliding indicator nut may move along the longitudinal axis of the carriage assembly but is prevented from rotating relative the carriage assembly, wherein the indicator nut has a center aperture that receives the twisted strip and permits longitudinal movement of the nut relative the twisted strip along an axis A of the carriage assembly, but prevents angular movement of the portion of the twisted strip that engages the nut relative to the nut, wherein the nut is driven along the axis A of the carriage assembly by a linkage that is connected relative the bucket such that the nut reflects the level position of the bucket.

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.

An apparatus includes a memory and a controller. The memory may be configured to store data. The memory generally comprises a plurality of memory units each having a size less than a total size of the memory. The controller may be configured to generate a set of converted log likelihood ratios by scaling a set of original log likelihood ratios using a selected scalar value, wherein the controller determines the selected scalar value by generating a plurality of sets of scaled log likelihood ratios by scaling the set of original log likelihood ratios with a plurality of corresponding scalar values, calculating a plurality of respective correlation coefficients each measuring a similarity of a respective set of scaled log likelihood ratios to the set of original log likelihood ratios, and selecting the scalar value corresponding to the set of scaled log likelihood ratios whose respective correlation coefficient is highest as the selected scalar value.

A smart sensing architecture (100) includes smart meters (102) and processing units (104). The smart meters (102) generate and transmit multidimensional data streams to the processing units (104). A processing unit (104) determines an optimum batch size for a multidimensional data stream and generates a multidimensional batch of data. The processing unit (104) reduces dimensionality of the multidimensional batch of data using principal component analysis to generate a low-dimensional batch of data and performs compressive sampling on the low-dimensional batch of data to generate a compressed batch of data, thereby saving bandwidth of transmission.

A process capable of employing compression and decompression mechanism to receive and decode soft information is disclosed. The process, in one aspect, is able to receive a data stream formatted with soft information from a communication network such as a wireless network. After identifying a set of bits representing a first logic value from a portion of the data stream in accordance with a predefined soft encoding scheme, the set of bits is compressed into a compressed set of bits. The compressed set of bits which represents the first logic value is subsequently stored in a local memory.