Code Conversion TRIZ Cases

Incremental XOR parity updates remove old block data and add new data without reading other memory cells, reducing I/O and wear.

Diagonal and row coding across multiple drives recovers data from two drive failures plus block loss while preserving storage capacity.

Frequency-domain key frames compress ISFET sequencing waveforms to cut storage needs while preserving chemical event signals and reducing noise.

Wigner Ville spectrum and Renyi entropy isolate relevant sensor events, cutting wireless transmission data while preserving key signal features.

Stored column indexes let turbo decoders generate multiple interleaver addresses per cycle while detecting out-of-bounds entries with less logic and memory.

Adaptive encoding and selective data decimation keep well-test transmissions within bandwidth limits while supporting real-time surface reconstruction.

Bit reliability and matrix-weight selection improve hybrid Polar code minimum distance and decoding for short to medium code lengths.

Recursive range subdivision compresses sorted integer sets with fewer bits, cutting storage space while preserving exact reconstruction.

Using two constituent codewords with different lengths and correction strengths, this GLDPC scheme improves BER and helps resolve stuck error patterns.

Multiple independently addressable memories let an LDPC decoder access full check node blocks in parallel, cutting latency and storage conflicts.

A modified RU encoder splits the parity-check matrix into circulant blocks to cut LDPC encoding complexity and memory power use.

Grouped ECC code words shift miscorrected bits into another memory group, enabling external detection and correction beyond single-group limits.

Source- and time-based query filters target relevant database partitions, cutting execution time and resource use without losing needed data.

A reduced set of auxiliary check equations lets an LDPC decoder stop iterations earlier, cutting latency, power, and circuit area.

A shared parity check tier protects both tiers and pillars in 3D NAND, enabling error recovery with low data overhead.

Encoded data slices are processed in threshold-based partial tasks, then deleted by policy to control memory use without losing integrity.

Sketch-based matching finds similar chunks, then stores references to identical sub-chunks and only unmatched data to cut storage and bandwidth.

Multi-level RZ signaling embeds clock transitions in the data stream, cutting on-die link power, die area, and clock recovery complexity.

Converting MLC memory cell errors into erasures lets tensor product and LDPC codes raise code rate while reducing decoding latency.

A lower cutoff and shared contexts improve motion vector difference entropy coding, boosting probability adaptation and reducing transmitted data.

Dynamic degree distribution tuning matches LT block size and channel loss to improve decoding efficiency in real-time transmission.

Using 2-bit lookup-table messages and count storage, this LDPC decoder cuts memory and hardware complexity while preserving error correction.

Smaller staged permutations with block interleaving cut gate count and memory needs while preserving error decorrelation in high-speed channels.

A reserved buffer stores correctable tape data sets across rereads, cutting backhitches, recovery time, and media wear.

Syndrome-weighted iterative decoding uses bit reliability data to correct aging-related memory errors and improve read accuracy.

Concurrent host and memory interface timing adjustment improves data sampling accuracy and reduces signal errors in storage devices.

Zero-value compaction and expansion cut neural network memory bandwidth and energy use while preserving sparse CNN inference accuracy.

By adapting error locator polynomial length to error parity, decoding skips iterations to cut clock cycles, latency, and power use.

Segmented ECC decoding keeps storage data flowing to the host, using dummy parity output when later segments are delayed.

Different compression settings for separate display ports cut interface power use while preserving image quality and buffer capacity.

Coding the last nonzero coefficient position first cuts video coding complexity and bitrate while preserving accurate coefficient position information.

RAID-style parity in an extra DRAM lets a stacked memory keep operating after one DRAM fails while preserving data integrity.