PATENT CLAIM ANALYSIS

Application Number: 15748928
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["714", "758000"]

Abstract:
The proposed technology provides methods, devices and computer programs for performing data error detection and correction. It is provided a method for performing data error detection and correction. The method comprises the step S 1  of providing multiple Mojette transform projections (pi,q,) obtained by applying an encoding Mojette transform on an input, or original, block of data elements or values. The method also comprises decoding S 2  the multiple Mojette transform projections to form a reconstructed block of data elements or values. The method also comprises investigating S 3  whether any of the decoded Mojette transform projections comprises at least one bin≠0 following generation of the reconstructed block, thus providing an indication that a data error has been detected in the reconstructed block. The method also comprises determining S 4 , if at least one bin≠0, a corrected reconstructed block of data elements or values based on the decoded Mojette transform projections. The proposed technology also provides devices and computer programs implementing the method.

Claim (Index 2):
The method according to  claim 1 , wherein the step of providing multiple Mojette transform projections (p i ,q i ) comprises providing projections using said encoding Mojette transform with q i =1.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 86.0
- Lexical Diversity: 2.29114
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15494054', '15126887', '15030338', '15166153', '14223874']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2948279169396513
- 35 USC 102 Novelty (BERT): 0.4986049054977104
- Combined Prediction Score: 0.3152056157954572
- Mean Citation Score: 236.830372
- Max Citation Score: 275.3289
- Similarity Product: 239.39921191946263

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

Dataset: test