PATENT CLAIM ANALYSIS

Application Number: 15956796
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-12
Patent Classification: ["704", "200100"]

Abstract:
An FFT processor applies the fast Fourier transform to each frame of an input signal and generates frequency domain data. A first spectrum calculator calculates the amplitude spectrum of the input signal for the individual frequency components based on the frequency domain data. A dispersion index calculator calculates a dispersion index indicating the level of dispersion of the amplitude spectrum of the input signal in the latest frames. A noise index calculator calculates a noise index indicating the level of noise contained in the input signal. A second spectrum calculator calculates the amplitude spectrum of the noise for the individual frequency components. A gain calculator calculates a spectral gain for suppressing the noise for the individual frequency components. An IFFT processor applies the inverse fast Fourier transform to the frequency domain data after multiplication by the spectral gain at a multiplier, and generates a signal to be output.

Claim (Index 5):
The noise suppression circuit according to  claim 1 , wherein the dispersion index is a moving average of a deviation, the deviation being an absolute value of a difference between the amplitude spectrum of the input signal and a reference value.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 91.0
- Lexical Diversity: 2.78571
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10451141', '11442663', '14124118', '12605291', '13814332']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3251132655858109
- 35 USC 102 Novelty (BERT): 0.5140193734106882
- Combined Prediction Score: 0.3440038763682986
- Mean Citation Score: 282.792432
- Max Citation Score: 305.1808
- Similarity Product: 217.8837709827423

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

Dataset: test