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 13):
The system of  claim 10 , the storage device further configured to execute multiple iterations of decoding by the detector and the decoder, an output of the decoder providing an input to the detector and an output of the detector providing an input to the decoder.

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): 0.3588617925548976
- 35 USC 102 Novelty (BERT): 0.5160558875051685
- Combined Prediction Score: 0.3745812020499247
- Mean Citation Score: 316.4404980000001
- Max Citation Score: 322.40857
- Similarity Product: 225.44391799931407

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