PATENT CLAIM ANALYSIS

Application Number: 16165494
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["381", "092000"]

Abstract:
The technology described in this document can be embodied in a method for processing an input signal that represents a signal of interest captured in the presence of noise to generate a de-noised estimate of the signal of interest. The method includes receiving an input signal representing a signal of interest captured in the presence of noise. The method also includes processing at least a portion of the input signal using a digital filter to generate a filtered signal, the digital filter configured to suppress at least a portion of spectrum of the noise. The method further includes processing the filtered signal using a first neural network to generate a de-noised estimate of the signal of interest, wherein the first neural network is trained to compensate for distortions introduced by the digital filter in the signal of interest.

Claim (Index 10):
The method of  claim 8 , wherein the frequency response represents an ideal binary mask, which is equal to 0 if the corresponding IRM in the same time-frequency bin satisfies a user-defined threshold condition, and equal to a non-zero value if the corresponding IRM in the same time-frequency bin does not satisfy the user-defined threshold condition.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.61818
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15952353', '15350293', '13700093', '12274233', '15625966']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6884891227056302
- 35 USC 102 Novelty (BERT): 0.4988025771397963
- Combined Prediction Score: 0.6695204681490469
- Mean Citation Score: 192.953638
- Max Citation Score: 195.02512
- Similarity Product: 122.4530188707161

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