Certain aspects of the present disclosure relate to techniques and apparatus for improving decoding latency and performance of Polar codes. An exemplary method generally includes generating a codeword by encoding information bits, using a multi-dimensional interpretation of a polar code of length N, determining, based on one or more criteria, a plurality of locations within the codeword to insert error correction codes generating the error correction codes based on corresponding portions of the information bits, inserting the error correction codes at the determined plurality of locations, and transmitting the codeword. Other aspects, embodiments, and features are also claimed and described.

Aspects of the disclosure provide an apparatus that includes transmitting circuit and processing circuit. The transmitting circuitry is configured to transmit wireless signals. The processing circuitry is configured to encode a set of information bits with a code that is configured for incremental redundancy to generate a code word that includes the information bits and parity bits, buffer the code word in a circular buffer, determine a start position in the circular buffer based on a redundancy version that is selected from a plurality of redundancy versions based on a scenario evaluation of a previous transmission associated with the set of information bits, and transmit, via the transmitting circuitry, a selected portion of the code word from the start position.

This application provides a polar code encoding method and apparatus. The method includes: obtaining, by a sending device, a sequence corresponding to a required mother code length; obtaining, by the sending device, a to-be-encoded bit; and performing, by the sending device, polar code encoding on the to-be-encoded bit by using the sequence corresponding to the required mother code length, to obtain an encoded bit, where the sequence is generated based on a basic sequence, and a length of the basic sequence is less than the mother code length.

An error correction device includes: a plurality of variable node units each configured to: receive a hard decision bit and a channel reliability value having a first bit-precision; and perform an iteration of a decoding operation on the hard decision bit based on the channel reliability value; a plurality of check node units each configured to: receive one or more reference reliability values having a second bit-precision from one or more variable node units coupled thereto among the plurality of variable node units during the iteration; and transmit, based on the one or more reference reliability values, one or more check reliability values having the second bit-precision to the one or more variable node units coupled thereto, wherein, during the iteration, each of the plurality of variable node units further: receives one or more first check reliability values from one or more check node units coupled thereto among the plurality of check node units; and updates the hard decision bit with reference to the channel reliability value and the one or more first check reliability values by upsizing the first bit-precision of the channel reliability value and the second bit-precision of the one or more first check reliability values.

The present disclosure includes apparatuses and methods for estimating an error rate associated with memory. A number of embodiments include sensing data stored in a memory, performing an error detection operation on the sensed data, determining a quantity of parity violations associated with the error detection operation, and estimating an error rate associated with the memory based on the determined quantity of parity violations.

Systems and methods for decoding block and concatenated codes are provided. These include advanced iterative decoding techniques based on belief propagation algorithms, with particular advantages when applied to codes having higher density parity check matrices such as iterative soft-input soft-output and list decoding of convolutional codes, Reed-Solomon codes and BCH codes. Improvements are also provided for performing channel state information estimation including the use of optimum filter lengths based on channel selectivity and adaptive decision-directed channel estimation. These improvements enhance the performance of various communication systems and consumer electronics. Particular improvements are also provided for decoding HD radio signals, satellite radio signals, digital audio broadcasting (DAB) signals, digital audio broadcasting plus (DAB+) signals, digital video broadcasting-handheld (DVB-H) signals, digital video broadcasting-terrestrial (DVB-T) signals, world space system signals, terrestrial-digital multimedia broadcasting (T-DMB) signals, and China mobile multimedia broadcasting (CMMB) signals. These and other improvements enhance the decoding of different digital signals.

In an illustrative example, a method includes sensing at least a portion of a representation of a convolutional low-density parity-check (CLDPC) codeword stored at a memory of a data storage device. The method further includes receiving the portion of the representation of the CLDPC codeword at a controller of the data storage device. The method further includes performing one or more management operations associated with the memory based on an estimated number of errors of the portion of the representation of the CLDPC codeword.

An error correction device includes: a plurality of variable node units each configured to: receive a hard decision bit and a channel reliability value having a first bit-precision; and perform an iteration of a decoding operation on the hard decision bit based on the channel reliability value; a plurality of check node units each configured to: receive one or more reference reliability values having a second bit-precision from one or more variable node units coupled thereto among the plurality of variable node units during the iteration; and transmit, based on the one or more reference reliability values, one or more check reliability values having the second bit-precision to the one or more variable node units coupled thereto, wherein, during the iteration, each of the plurality of variable node units further: receives one or more first check reliability values from one or more check node units coupled thereto among the plurality of check node units; and updates the hard decision bit with reference to the channel reliability value and the one or more first check reliability values by upsizing the first bit-precision of the channel reliability value and the second bit-precision of the one or more first check reliability values.

The disclosed technology relates to a method for improving performance of a feedback circuit comprising an amplifier and a feedback network, wherein the feedback circuit has at least one tunable component. In one aspect, the method comprises measuring first amplitude values at an input of the amplifier and second amplitude values at an output of the amplifier, estimating a linear open-loop gain of the amplifier based on both the amplitude values, estimating a linear finite gain error based on the estimated gain and the second amplitude values, subtracting the linear finite gain error from the first amplitude values to derive a set of samples containing second error information, deriving an signal-to-noise-plus-distortion ratio estimate based on the variance of the set of samples and a variance of the second amplitude values, and adjusting the feedback circuit in accordance with the signal-to-noise-plus-distortion ratio estimate.

A team polar decoder (TPD) includes polar decoders (PPDs) connected to a channel, and a team decision maker (TDM) connected to the PPDs and a destination. Component polar decoders (CPDs) decode a polar code in accordance with a polar code. Each CPD receives a noisy code block (NCB) from the channel, and decodes the NCB in consecutive steps to obtain a decoded transform input block (DTIB). Each CPD is generates, at an end of the decoding step, a candidate decoded data block from the DTIB by a data-demapping operation that is an inverse of a data-mapping operation applied at a polar encoder, then sends the CDDB to the TDM, which receives the CDDBs from the PPDs, generates a decoded data block (DDB), and sends the DDB to the destination.