PATENT CLAIM ANALYSIS

Application Number: 15889458
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["714", "755000"]

Abstract:
The disclosed embodiments are directed to systems, devices, and methods for iterative message-passing decoding. In one embodiment, a method is disclosed comprising decoding a first codeword at a storage device using a detector and a decoder, the first codeword comprising a set of symbols from a first set of codewords; assigning, via the decoding, a set of confidence levels for each symbol in the first codeword; transmitting, by the storage device, the confidence levels to an iterative decoder; generating, by the iterative decoder, a second codeword based on the set of confidence levels, the second codeword excluding at least one symbol in the set of symbols; and iteratively decoding, by the iterative decoder, the second codeword using an erasure decoder; and transmitting, by the iterative decoder, soft information generated by the erasure decoder to the storage device for subsequent decoding by the storage device.

Claim (Index 12):
The system of  claim 11 , the time-division scheduler further configured to:\n interleave the set of encoded symbols to generate a plurality of interleaved codewords, the plurality of interleaved codewords including the first codeword; and transmit the first codeword to the storage device prior to decoding the first codeword.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 88.0
- Lexical Diversity: 2.76667
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12327627', '13660659', '14546850', '11937389', '15236066']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3589501862157197
- 35 USC 102 Novelty (BERT): 0.5146674677352943
- Combined Prediction Score: 0.3745219143676772
- Mean Citation Score: 316.4404980000001
- Max Citation Score: 322.40857
- Similarity Product: 237.0937923143864

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test