PATENT CLAIM ANALYSIS

Application Number: 15946529
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["381", "023000"]

Abstract:
The present disclosure provides methods, devices and computer program products for encoding and decoding of a vector of parameters in an audio coding system. The disclosure further relates to a method and apparatus for reconstructing an audio object in an audio decoding system. According to the disclosure, a modulo differential approach for coding and encoding a vector of a non-periodic quantity may improve the coding efficiency and provide encoders and decoders with less memory requirements. Moreover, an efficient method for encoding and decoding a sparse matrix is provided.

Claim (Index 15):
The method of  claim 13 , wherein the step of representing each entropy coded symbol in the vector of entropy coded symbols by a symbol is performed using the same probability table for all entropy coded symbols in the vector of entropy coded symbols, wherein the index value associated with the first entropy coded symbol is calculated by:\n shifting the symbol representing the first entropy coded symbol in the vector of entropy coded symbols by an off-set value; applying modulo N to the shifted symbol; the method further comprising the step of: representing the first element of the vector of parameters by a parameter value corresponding to the index value associated with the first entropy coded symbol.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 91.0
- Lexical Diversity: 1.75926
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15643416', '14892722', '15030327', '15521157', '15031130']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7360640218522687
- 35 USC 102 Novelty (BERT): 0.5526206486332966
- Combined Prediction Score: 0.7177196845303715
- Mean Citation Score: 318.64298799999995
- Max Citation Score: 442.4008
- Similarity Product: 319.9021045534134

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