Data Representation Error Detection/Correction TRIZ Cases

A relay recovers and forwards punctured turbo codewords so the destination combines both paths for higher coding gain and less error propagation.

Supplemental column-wise ECC stored in a different cell level helps NAND memory recover from word line failures beyond block ECC limits.

A trace-back convergence check cuts TBCC decoding iterations and memory use while preserving accuracy close to wrap-around Viterbi decoding.

Using coprime packet block layouts, this case cuts FEC bandwidth overhead while improving recovery from burst and multiple packet losses.

Moving LLR combining before LTE de-rate matching bypasses NULL bits, cuts memory throughput, and preserves accurate HARQ retransmission decoding.

Extra PHY symbol pad bits are reused to lower FEC coding rate, cut padding waste, and improve OFDM error correction without adding symbols.

Error-coded data slices are distributed across multiple locations to protect streaming data from drive failure, corruption, and copy-based security risks.

Hybrid LDPC decoding triangulates the parity check matrix so corrupted or lost data can be recovered with lower decoder complexity.

A two-pass Search Depth Viterbi approach decodes tail-biting convolutional codes with lower complexity and memory use while preserving error protection.

Convolutional coding, soft-decision decoding, and ECC help multilevel memory read overlapping threshold states with higher reliability.

Mapping coded bits from multiple LTE code blocks for equal protection enables earlier decoding, interference cancellation, and stable channel estimation.

By outputting path metrics and possible error events, this Viterbi detector improves decision reliability and data recovery in noisy channels.

Compact reliability-memory stages merge state paths to cut SOVA decoder logic, memory, chip area, and power while preserving decoding performance.

New generator pairs preserve dibit distance in combined PPM/BPSK links, keeping error correction strong for coherent and non-coherent receivers.

Adaptive LDPC block division and modulation-based puncturing improve control information decoding consistency and reduce wireless transmission errors.

Soft-information post processing with min-sum LDPC decoding cuts error propagation, controls error floor, and keeps storage decoding complexity low.

Key IDs, algorithm IDs, and IVs are embedded in DMR voice superframes so receivers can decrypt securely with minimal voice distortion and late entry delay.

Shared partial parity products cut LDPC parity calculations, reducing encoder hardware, power use, and transmission delay.

Time-sliced uplink decoding reconstructs and subtracts decoded user signals at the NodeB receiver to cut multi-user interference and raise throughput.

Decoder parity is fed back to prune trellis paths, cutting repeated detection and decoding passes while improving data recovery efficiency.

Error-free application data is sent to the host immediately, so only errored data is stored for FEC, cutting memory needs by 50% to 75%.

LLR confidence is adjusted from unsatisfied check nodes to cut LDPC error floors while preserving throughput in iterative decoding.

Base-matrix expansion builds quasi-cyclic LDPC codes that avoid 4-cycles while enabling efficient encoding and decoding in MIMO OFDM.

Soft-decision log-likelihood ratios enable accurate PRBS seed recovery with limited training data for receiver synchronization and equalizer training.

Joint Viterbi detection uses training-sequence channel estimates to demodulate desired and interfering signals with better GSM receive quality.

Parity blocks in predicted blanked frames recover data when repetitive impulse noise drifts across adjacent frame boundaries.

Row-wise LLR updates and early iteration stopping speed LDPC BP decoding while reducing power use, silicon area, and throughput loss.

A pre-sent FEC flag marks block boundaries so Ethernet receivers can synchronize faster after low-power idle and fit tight wake windows.

A delayed parallel coding scheme with inner and outer ECC stages improves MLC read reliability while reducing decoding time and hardware complexity.

A dual-dimension ECC layout stores row and column recovery codes separately, enabling NAND flash data recovery after word line failures.

LDPC sub-matrices and connection matrices let MIMO streams receive different error protection levels with lower complexity and better QoS.

Fast joint detection cuts MIMO soft-bit computation by reusing metrics and parallel stages, enabling faster hardware-friendly decoding.

Splitting MPE-FEC frames across multiple bursts extends interleaving and enables tailored FEC, improving DVB-H noise robustness without long wake times.

Blindly testing control channel formats with allocation block decoding and error checks cuts signaling overhead while preserving accurate resource allocation.

A sliding 1-bit shift register and multiplexer chain cut Viterbi decoder power while keeping traceback latency low.

Sorting check-node messages by magnitude and reusing selected minima cuts LDPC decoder hardware and memory cost without sacrificing decoding performance.

A turbo interleaving scheme iteratively updates addresses to preserve size-p patterns, reduce periodicity, and improve data spreading.

Soft outputs and a defect flag let defective media data be regenerated instead of nulled, improving recovery while limiting error propagation.

Previous-iteration state metrics initialize decoding windows, removing warm-up delay while enabling parallel forward and backward metric calculation.

A search trellis with branch metrics narrows likely error events across data blocks, cutting exhaustive search time while preserving correction accuracy.

Correction-depth Viterbi decoding cuts tail-biting code complexity and memory use while preserving real-time error protection.

Parallel constituent encoders and an interleaver enable low-rate turbo codes to improve low-SNR error performance with manageable complexity.

Predefined stuff bytes add frequent known sequences to VSB broadcasts, improving synchronization and equalization in multipath and Doppler fading channels.

Probability-message decoding on GF(q) factor graphs cuts non-binary LDPC complexity while preserving strong error correction.

Dynamic FEC rate control adjusts optical link margin to maintain QoS while improving transport capacity and reducing wasted headroom.

Multiple sampled reads suppress noise in multi-bit memory sensing, while redundant encoding helps detect stored-data errors.

A pipelined ML decoder computes QPSK MIMO OFDM LLR values across clock cycles to cut permutation burden and speed receiver processing.

Biasing P1/P2 puncturing and avoiding periodic parity patterns helps turbo codes keep high code rates without SNR loss or weaker error correction.

LP decoding flags non-integral bits so only erroneous bits or sub-blocks are retransmitted, reducing uplink load and improving throughput.

Soft-decision statistics help hard disk drives distinguish TA and media defects more reliably, reducing false negatives and read-head damage.

Selective high- and low-resolution branch metric computation cuts nonlinear Viterbi detector area and power while preserving detection performance.

By removing punctured parity nodes from the Tanner graph, this LDPC decoding approach cuts calculations and speeds convergence for variable coding rates.

Parity symbols sent across a sliding packet window recover losses without retransmission, cutting multicast overhead and delay.

A stop judging circuit ends turbo decoding when extrinsic and a-priori data differences fall below a threshold, cutting time and power.

A reconfigurable trellis decoder adapts ACS networks, trace-back, and code parameters to cut hardware and power while supporting varied Viterbi schemes.

Parallel 3-input adders and 6-input LUTs shrink ACS area and critical path length, raising trellis decoder speed and accuracy.

Adaptive LDPC codeword shortening and puncturing fit OFDM symbols, cutting decoding latency and overhead in high-rate WLAN links.

A stability check stops LDPC decoding iterations once bits converge, cutting power use and decoding time with minimal silicon overhead.

Programmable reduced-state trellis parameters cut FEC decoding complexity for high-data-rate waveforms while preserving bit error rate performance.

SNR-aware metric logic, interference cancellation, and equalization improve multi-channel LDPC decoding while lowering bit errors and power use.

Power-event cache flushing with sync pointers and flags preserves mirrored storage integrity without giving up write-cache speed.

Statistical feedback from SISO decoding adjusts read and programming parameters in nonvolatile memory to sustain SNR and data recovery reliability.

A unified OFDM interleaver combines symbol, tone, and cyclic shift steps to reduce reception errors, memory use, and transmission delay.

Supernode splitting builds a sparse quasi-cyclic irregular LDPC matrix that improves noise tolerance without the complexity of traditional codes.

Parallel Viterbi decoders and banked deinterleaving raise UWB-OFDM data throughput while avoiding memory access conflicts.

Dual-port RAM with read-before-write and toggled addressing lets trellis decoders read and write simultaneously while using fewer memory blocks.

A two-decoder LDPC scheme splits information and parity bits to avoid parallel memory access conflicts while sustaining high-throughput decoding.

A feedforward outer code and 1/(1+D) accumulate inner code cut decoding complexity and memory while preserving strong error correction.

An outer-inner convolutional coding chain with SPC, interleaving, and puncturing improves code-rate flexibility and low BER with manageable complexity.

An error compensation stage between two channel decoders suppresses low-frequency noise and cuts recovery errors in dense magnetic recording.

Soft-output reliability values are histogrammed to estimate read channel BER much faster than direct error counting while preserving correlation.

Candidate relays use local link quality and busy-tone signaling to self-select the best CMAC partner with less overhead and fewer collisions.

Reverse transpose logic and rotated counter bits set the correct Viterbi traceback start index across constraint lengths and frame sizes.

Parallel circulation decoding units remove memory backtracking and speed analog Viterbi decoding without sacrificing accuracy.

Varying code and repetition rates across packet segments protects headers more strongly while avoiding separate FEC and interleaver paths.

By limiting decoding to known TFCI codewords, this sparse ML approach improves block-code error correction while cutting search power.

Phase-offset LDPC coding across 802.11n MIMO sub-carriers improves throughput and signal quality while limiting co-channel interference.

By decoding the interleaved element code first, this turbo decoder removes deinterleaving steps to cut processing time, memory use, and power.

Precomputed FEC packets let IP video receivers reconstruct lost packets without retransmission, preserving stream quality and network speed.

Sparse parity check matrices are sent as compressed index data, cutting signaling volume and enabling generic FEC decoders to rebuild decoding graphs.

A configurable ACS circuit also computes branch metrics, enabling flexible trellis decoding with higher throughput and lower power.

Multiple MAP detectors process sampled data in parallel to generate soft decisions with lower latency and less buffering in disk readback.

Precomputed quantized lookup values simplify MAP turbo decoding, cutting computation and clock cycles while preserving strong error correction.

Quad-symbol mapping and interleaving enable QC-DBTC codes to adapt FEC rate to channel conditions and packet size in high-rate wireless links.

Inner memory stores outer-memory address data to simplify deinterleaving, cut memory access, and lower power in burst error correction.

Interleaving buffers, register banks, and stalling manage concurrent LLR writes in turbo decoding while reducing RAM complexity and latency.

Pre-structured LDPC generator sub-matrices create punctured codewords directly, cutting encoder complexity and power while preserving decoder compatibility.

Continuous ECC transformation keeps data protected while converting between source and target codes, preventing silent corruption from soft errors.

Cross-interleaved codewords spread FEC data across packets to recover loss without retransmission, reducing latency in real-time media.