PATENT CLAIM ANALYSIS

Application Number: 16048366
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-09
Patent Classification: ["365", "185030"]

Abstract:
A decoding method is provided. The method includes selecting a target word line among a plurality of word lines; respectively reading a plurality of target memory cells of the target word-line by using different X read voltage sets to obtain corresponding X Gray code summation sets; calculating a Gray code count summation difference of the Gray code count summations at the same sequence position respectively in N−1 Gray code count summations between every pair of adjacent Gray code summation sets of the X Gray code summation sets, so as to obtain X−1 Gray code count summation difference sets corresponding to all pairs of the Gray code summation sets; and deciding N−1 optimized read voltages from X*(N−1) read voltages belonging to the X read voltage sets according to the X−1 Gray code count summation difference sets.

Claim (Index 11):
The decoding method as claimed in  claim 1 , further comprising:\n identifying a plurality of statistical values of the target word line in response to choosing the target word line; and adjusting a size of the predetermined voltage difference and a value of the second predetermined positive integer based on at least one of the statistical values, wherein the statistical values comprise:\n a value of program erase cycles of the target word line; \n a read counter value of the target word line; \n a retention time value of the target word line; and \n the number of error bits of data stored in the target word line.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 95.0
- Lexical Diversity: 2.16418
- Patent Class: 365.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16032079', '16026079', '10058386', '15284666', '10734943']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7786762245766846
- 35 USC 102 Novelty (BERT): 0.5740156643451509
- Combined Prediction Score: 0.7582101685535313
- Mean Citation Score: 247.29972400000003
- Max Citation Score: 467.64218
- Similarity Product: 465.1300676523674

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