PATENT CLAIM ANALYSIS

Application Number: 16026860
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["381", "094300"]

Abstract:
Example pop noise removal systems and methods include detecting impulsive components in an input signal based on a signal-to-noise ratio spectrum of the input signal, and generating a spectral pop noise removal mask and applying the spectral pop noise removal mask to the input signal if impulsive components in the input signal are detected, the pop noise removal mask configured to suppress the impulsive components in the input signal, when applied.

Claim (Index 9):
The pop noise control method of  claim 8 , wherein detecting impulsive components comprises:\n determining the signal-to-noise ratio spectrum of the input signal by determining signal-to-noise ratios per discrete frequency of the input signal; comparing within a predetermined frequency range each signal-to-noise ratio per discrete frequency to a predetermined first threshold and providing a first evaluation output signal which is the number of signal-to-noise ratios per discrete frequency that exceed the signal-to-noise ratio threshold otherwise; and comparing the first evaluation output signal to a second threshold and providing a second evaluation output signal which adopts a first state if the first evaluation output signal exceeds the second threshold and adopts a second state otherwise, the first state indicating that impulsive components are detected in the input signal and the second state indicating that impulsive components are not detected in the input signal.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 95.0
- Lexical Diversity: 2.02703
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14517700', '15583012', '15290685', '14126556', '15569555']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6636018765052284
- 35 USC 102 Novelty (BERT): 0.4889006594192173
- Combined Prediction Score: 0.6461317547966272
- Mean Citation Score: 173.08469599999995
- Max Citation Score: 190.09618
- Similarity Product: 140.51287498679278

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