PATENT CLAIM ANALYSIS

Application Number: 16137947
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["714", "758000"]

Abstract:
A non-volatile memory controller includes a hard-decision Low Density Parity Check (LDPC) decoder with a capability to dynamically select a voting method to improve the decoding in low bit error rate (BER) situations. The hard-decision LDPC decoder dynamically selects a voting method associated with a strength requirement for bit flipping decisions. In one implementation, the voting method is selected based on the degree of a variable node and previous syndrome values.

Claim (Index 1):
A method of Low Density Parity Check (\u201cLDPC\u201d) decoding by an LDPC decoder, the LDPC decoder operable to perform the steps comprising of:\n receiving a plurality of encoded data; and iteratively selecting a voting requirement, among a plurality of voting requirements, for LDPC decoding of each received encoded data of the plurality of encoded data, wherein for each iteration of the LDPC decoder,\n selecting is based on a value of a syndrome of the received encoded data; \n employing a bit-flipping scheme of the LDPC decoder according to the selected voting requirement, and \n correcting the encoded data based on the respective selected voting requirement and the employed bit-flipping scheme.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 97.0
- Lexical Diversity: 1.38596
- Patent Class: 714.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14325256', '14325244', '15702909', '13934999', '14165135']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2770033995554332
- 35 USC 102 Novelty (BERT): 0.5406410190522114
- Combined Prediction Score: 0.303367161505111
- Mean Citation Score: 276.458988
- Max Citation Score: 386.7091
- Similarity Product: 326.92310313388697

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test