PATENT CLAIM ANALYSIS

Application Number: 15949372
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["381", "094800"]

Abstract:
A noise suppression apparatus disclosed is capable of suppressing pulse noise in an input signal even in a situation in which the level of the input signal changes. The pulse noise mixed in the input signal is suppressed, and linear prediction coefficients for the input signal is derived by linear prediction analysis. A prediction residual signal is then calculated from the input signal using the linear prediction coefficient. A threshold value is calculated based on the signal level of the input signal and the signal level of the prediction residual signal is compared with the threshold value. A limit control is performed on the prediction residual signal depending on a result of the comparison, and an output signal is generated based on the prediction residual signal having been subjected to the limit control using the linear prediction coefficient.

Claim (Index 4):
The noise suppression apparatus according to  claim 3 , wherein\n the threshold value that is compared, in the comparing, with the signal level of the prediction residual signal at the first sample point is a threshold value calculated based on the average value of signal levels at a plurality of successive sample points including the first sample point of the input signal.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 2.5
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10012126', '12837658', '12197069', '13273322', '09984544']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6633436012107599
- 35 USC 102 Novelty (BERT): 0.487557283986653
- Combined Prediction Score: 0.6457649694883492
- Mean Citation Score: 178.36879800000003
- Max Citation Score: 189.01282
- Similarity Product: 140.97446200134755

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