PATENT CLAIM ANALYSIS

Application Number: 15985217
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-10
Patent Classification: ["714", "752000"]

Abstract:
A method for generating encoded data includes: generating at least one local LDPC matrix and a global LDPC matrix, the global LDPC matrix relating to each of the at least one local LDPC matrix; repeatedly selecting one of the at least one local LDPC matrix as a target local LDPC matrix until a number t of the target local LDPC matrices are selected, where t is a user-defined number that is greater than one; generating a block matrix that includes the target local LDPC matrices; generating a primary LDPC matrix that includes a first primary matrix part relating to the block matrix, and a second primary matrix part relating to the global LDPC matrix; and encoding data based on the primary LDPC matrix.

Claim (Index 5):
The method of  claim 1 , wherein the generating the primary LDPC matrix includes:\n generating an intermediate LDPC matrix that includes a first intermediate matrix part relating to the first block matrix, and a second intermediate matrix part relating to the global LDPC matrix, a number of columns of the intermediate LDPC matrix equals a number of columns of the first block matrix; selecting one of the at least one local LDPC matrix to serve as an extra target local LDPC matrix; generating a second block matrix that includes the intermediate LDPC matrix and the extra target local LDPC matrix; and generating the primary LDPC matrix of which the first primary matrix part relates to the second block matrix, and the second primary matrix part relates to the global LDPC matrix, a number of columns of the primary LDPC matrix equaling a number of columns of the second block matrix.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 93.0
- Lexical Diversity: 2.69388
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10964122', '11507161', '11583222', '13454086', '15294612']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.291171114866187
- 35 USC 102 Novelty (BERT): 0.5041526079753411
- Combined Prediction Score: 0.3124692641771024
- Mean Citation Score: 226.60902400000003
- Max Citation Score: 230.82562
- Similarity Product: 151.8504289450431

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

Dataset: test