PATENT CLAIM ANALYSIS

Application Number: 16429590
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["704", "500000"]

Abstract:
A technology of accurately coding and decoding coefficients which are convertible into linear prediction coefficients even for a frame in which the spectrum variation is great while suppressing an increase in the code amount as a whole is provided. A coding device includes: a first coding unit that obtains a first code by coding coefficients which are convertible into linear prediction coefficients of more than one order; and a second coding unit that obtains a second code by coding at least quantization errors of the first coding unit if (A-1) an index Q commensurate with how high the peak-to-valley height of a spectral envelope is, the spectral envelope corresponding to the coefficients which are convertible into the linear prediction coefficients of more than one order, is larger than or equal to a predetermined threshold value Th1 and/or (B-1) an index Q′ commensurate with how short the peak-to-valley height of the spectral envelope is, is smaller than or equal to a predetermined threshold value Th1′.

Claim (Index 5):
A non-transitory computer-readable recording medium having recorded thereon a program for making a computer function as the decoding device according to  claim 1  or  2 .

Metadata:
- Claim Count in Document: 9.0
- Percentile: 100.0
- Lexical Diversity: 2.13415
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16429387', '15306622', '16044678', '15307059', '16398429']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4034870230103351
- 35 USC 102 Novelty (BERT): 0.6517655702251239
- Combined Prediction Score: 0.428314877731814
- Mean Citation Score: 504.19979400000005
- Max Citation Score: 628.687
- Similarity Product: 613.3516864485741

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