H03M13/152

Controlling memory readout reliability and throughput by adjusting distance between read thresholds
20220374308 · 2022-11-24 ·

An apparatus for data storage includes an interface and a processor. The interface is configured to communicate with a memory device that includes (i) a plurality of memory cells and (ii) a data compression module. The processor is configured to determine a maximal number of errors that are required to be corrected by applying a soft decoding scheme to data retrieved from the memory cells, and based on the maximal number of errors, to determine an interval between multiple read thresholds for reading Code Words (CWs) stored in the memory cells for processing by the soft decoding scheme, so as to meet following conditions: (i) the soft decoding scheme achieves a specified decoding capability requirement, and (ii) a compression rate of the compression module when applied to confidence levels corresponding to readouts of the CWs, achieves a specified readout throughput requirement.

Long-Range Digital Radio

A digital radio OFDM modulator and demodulator provide an efficient mode and a backwards-compatible mode to work with IEEE 802.15.4g or a similar standard. In backwards-compatible mode, they use a single method for error encoding physical header and payload transmit data, and a single method for detecting and correcting errors in physical header and payload receive data. In efficient mode, they use two different methods. The payload is BCH-LDPC encoded. They may also use mapping constellations that are not available in IEEE 802.15.4g, including 64-QAM, 256-QAM, and APSK. To ensure that physical header data can be received more robustly than payload data, they use frequency diversity of the physical header data, and selection maximal ratio combining (SMRC) in the demodulator to reduce the bit error rate (BER) at a low cost.

Data processing device and data processing method

The present technology relates to a data processing device and a data processing method, which are capable of securing excellent communication quality in data transmission using an LDPC code. In group-wise interleave, an LDPC code in which a code length N is 16200 bits and an encoding rate r is 10/15 or 12/15 is interleaved in units of bit groups of 360 bits. In group-wise deinterleave, a sequence of the LDPC code that has undergone the group-wise interleave is restored to an original sequence. For example, the present technology can be applied to a technique of performing data transmission using an LDPC code.

Parity puncturing device for variable-length signaling information encoding, and parity puncturing method using same

A parity puncturing apparatus and method for variable length signaling information are disclosed. A parity puncturing apparatus according to an embodiment of the present invention includes memory configured to provide a parity bit string for parity puncturing for the parity bits of an LDPC codeword whose length is 16200 and whose code rate is 3/15, and a processor configured to puncture a number of bits corresponding to a final puncturing size from the rear side of the parity bit string.

SYSTEMS FOR ERROR REDUCTION OF ENCODED DATA USING NEURAL NETWORKS
20220368356 · 2022-11-17 · ·

Examples described herein utilize multi-layer neural networks, such as multi-layer recurrent neural networks to estimate an error-reduced version of encoded data based on a retrieved version of encoded data (e.g., data encoded using one or more encoding techniques) from a memory. The neural networks and/or recurrent neural networks may have nonlinear mapping and distributed processing capabilities which may be advantageous in many systems employing a neural network or recurrent neural network to estimate an error-reduced version of encoded data for an error correction coding (ECC) decoder, e.g., to facilitate decoding of the error-reduced version of encoded data at the decoder. In this manner, neural networks or recurrent neural networks described herein may be used to improve or facilitate aspects of decoding at ECC decoders, e.g., by reducing errors present in encoded data due to storage or transmission.

DECODERS AND SYSTEMS FOR DECODING ENCODED DATA USING NEURAL NETWORKS
20220368349 · 2022-11-17 · ·

Examples described herein utilize multi-layer neural networks, such as multi-layer recurrent neural networks to estimate message probability compute data based on encoded data (e.g., data encoded using one or more encoding techniques). The neural networks and/or recurrent neural networks may have nonlinear mapping and distributed processing capabilities which may be advantageous in many systems employing a neural network or recurrent neural network to estimate message probability compute data for a message probability compute (MPC) decoder. In this manner, neural networks or recurrent neural networks described herein may be used to implement aspects of error correction coding (ECC) decoders, e.g., an MPC decoder that iteratively decodes encoded data.

Apparatus for transmitting broadcast signals, apparatus for receiving broadcast signals, method for transmitting broadcast signals and method for receiving broadcast signals

The present invention provides an apparatus of transmitting broadcast signals. The apparatus includes, an encoder for encoding service data, a bit interleaver for bit interleaving the encoded service data, a mapper for mapping the bit interleaved service data into a plurality of OFDM (Orthogonal Frequency Division Multiplex) symbols to build at least one signal frame, an OFDM modulator for modulating data in the built at least one signal frame by an OFDM scheme and a transmitter for transmitting the broadcast signals having the modulated data.

Descrambler for memory systems and method thereof

A descrambler receives data from a memory device. The descrambler calculates a sub-syndrome weight for multiple bits in each of the plurality of descrambled sequences using a set parity check matrix to generate multiple sub-syndrome weights, one for each of the plurality of descrambled sequences. The descrambler selects a sub-syndrome weight among the multiple sub-syndrome weights. The descrambler determines, as a correct scrambler sequence for descrambling the data, a scrambler sequence corresponding to the selected sub-syndrome weight, among the plurality of scrambler sequences.

FORWARD ERROR CORRECTION SYSTEMS AND METHODS
20230040120 · 2023-02-09 · ·

Techniques for performing forward error correction of data to be transmitted over an optical communications channel. The techniques include: receiving data bits; organizing the data bits into an arrangement having a plurality of blocks organized into rows and columns and into a plurality of strands including a first strand of blocks that includes a back portion comprising a first row of the plurality of blocks, and a front portion comprising blocks from at least two different columns in at least two different rows other than the first row of blocks; and encoding at least some of the data bits in the arrangement using a first error correcting code at least in part by generating first parity bits by applying the first error correcting code to first data bits in the front portion of the first strands and second data bits in the back portion of the first strand.

Transmitting apparatus and signal processing method thereof

A transmitting apparatus and a receiving apparatus are provided. The transmitting apparatus includes: an encoder configured to generate a low density parity check (LDPC) codeword by performing LDPC encoding; an interleaver configured to interleave the LDPC codeword; and a modulator configured to modulate the interleaved LDPC codeword according to a modulation method to generate a modulation symbol. The interleaver is formed of a plurality of columns including a plurality of rows, respectively, and comprises: a block interleaver configured to divide each of the plurality of columns into a first part and a second part, and interleave a plurality of bit groups constituting the LDPC codeword, all bit groups interleaved by the first part are interleaved as bits included in a same bit group are written in a same column of the first part, at least one bit group interleaved by the second part is interleaved as bits included in the at least one bit group are divided and written in at least two columns constituting the second part.