Error Correction/Detection Using Convolutional Codes TRIZ Cases

Multiple ECC passes and soft read values help recover failed memory data across related data groups while preserving data integrity.

Uses time-varying LDPC convolutional codes to encode arbitrary-length sequences without padding or puncturing while preserving coding rate.

History read-voltage dispersion guides decoding type and order after read failure, cutting unnecessary retries, power use, and block degradation.

Variable-length LDPC convolutional coding avoids padding and puncturing, preserving coding rate while maintaining strong error correction.

An LDPC convolutional code avoids padding and puncturing for variable-length packets, reducing redundant bits while preserving received quality.

A unified interleaver for three parity streams simplifies convolutional rate matching while preserving flexible code-rate control.

When hard-read ECC fails in MLC flash, quantized soft read voltages use block wear and decoder parameters to recover data more reliably.

Alternating trivial decoding with Gauss elimination cuts sparse graph code decoding complexity while preserving maximum likelihood recovery.

Burst data uses length-based FEC selection so both ends decode without FEC parameter transfer, saving spectrum resources.

LDPC convolutional coding handles variable-length packets without padding or puncturing, reducing redundant bits while preserving error correction.

Independent FEC codeblocks mapped within single resource blocks let SIC receivers decode only overlapping data and cut unnecessary processing.

Encoded data slices are split across local, LAN, and WAN storage to improve integrity, recovery, and security in distributed storage networks.

FEC, block coding, and OFDM framing improve receiver sensitivity and long-range WLAN control transmissions in sub-1 GHz bands.

Path metric checks in the Viterbi decoder stop weak TBCC candidates early, cutting LTE blind decoding time and power use.

Alternating trivial decoding with selective Gauss elimination cuts sparse graph code erasure-decoding complexity while preserving maximum likelihood recovery.

A known start state lets tailless convolutional coding cut trellis decoder complexity, remove tail bits, and avoid warm-up iterations.

Priority queues and adaptive FEC let codeword blocks meet latency limits while preserving throughput across mixed service flows.

Additional encoding and known data insertion improve mobile service data reception in VSB broadcasting under channel variation and noise.

A dual-protocol PHY preamble repeats the signal field to improve receiver sensitivity and extend sub-1 GHz WLAN range at lower data rates.

Modulation-specific intra-symbol bit shifting adapts interleaving to 64NUC constellations, lowering wireless bit error rates.

Alternating two state storages and selective traceback help a convolutional decoder improve TBCC decoding reliability without slowing operation.

Sending FEC configuration with source and repair packet timing helps MMT streams recover loss, manage jitter, and cut recovery delay.

A prime-period time-varying LDPC-CC handles arbitrary-length sequences without padding or puncturing, preserving coding rate and error correction.

Threshold-based SCMA codebook pruning removes unlikely codewords during message passing to cut decoding complexity and latency.

Soft-bit candidate frame starts and sync-word decoding improve frame alignment and error correction under interference and clock mismatch.

Aggregating bit reliability values across transmission intervals speeds NB-IoT system information decoding while cutting repeated trials and power use.

Adaptive non-uniform LLR bins preserve soft-decoding fidelity near uncertainty while cutting receiver memory use and transmission bandwidth.

Predetermined parity-check matrices and tail-biting enable LDPC convolutional codes with flexible rates and strong error correction.

Dynamic payload-bit and data-symbol calculation with LDPC or BCC encoding improves uplink MU-MIMO and OFDMA transmission reliability.

A configurable LDPC-CC encoder and decoder supports multiple coding rates with low circuit complexity while preserving received data quality.

Segmenting and interleaving PPDU spatial blocks across frequency bands raises WLAN throughput while preserving legacy compatibility.

Reliability-guided bit flipping corrects LDPC errors while lowering decoder power versus soft-message decoding.

A compact LDPC-CC structure avoids padding for variable-length data, reducing redundant bits while maintaining error correction quality.

Alternating state storage and selective traceback speed Viterbi decoding while preserving reliable error correction for control-channel bit streams.

A prime-period time-varying LDPC-CC handles arbitrary-length frames without padding or puncturing while preserving strong error correction.

A variable-length LDPC encoding scheme uses virtual bits and selected matrix columns to support multiple coding rates with low complexity.

Separate encoding and interleaving protect supplemental broadcast data from noise and ghost effects while preserving compatibility with conventional TV receivers.

Selects FEC coding and decoding from burst data length, avoiding FEC parameter signaling and saving communication spectrum.

Burst data selects FEC type from packet length, avoiding FEC parameter signaling and reducing parity and spectrum overhead.

A half product code splits soft and hard decision decoding to improve data reconstruction while reducing processing logic overhead.

Pre-signaling metadata in the broadcast preamble lets receivers detect services and modulation settings quickly without trial-and-error.

Codebook sectioning and partitioning enable deterministic near-symbol balanced encoding with minimum overhead bits for short and multi-level sequences.

Bit-interleaved LDS spreading disperses burst errors across subcarriers, improving error correction decoding and spectral efficiency.

A prime-power interleaver uses common and unique parameters to cut memory overhead, lower bit-sequence correlation, and improve 5G decoding.