PATENT CLAIM ANALYSIS

Application Number: 16045672
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["704", "500000"]

Abstract:
One embodiment is directed towards an adaptive post filtering system for noise reduction that includes a controllable filter block that is configured to generate, from a filter input signal, a filter output signal according to a filter transfer function, the filter transfer function being controllable with a filter control signal. The adaptive post filtering system further includes a statistical filter control block that is operatively coupled to the controllable filter block and configured to generate, according to a statistical optimization scheme, the filter control signal based on the input signal and a signal representative of noise contained in the filter input signal.

Claim (Index 14):
The method of any of  claim 8 , wherein generating the filter control signal based on the signal representative of the power of the signal representative of the noise contained in the filter input signal and the signal representative of the power of the filter input signal comprises adaptively controlling the filter transfer function if the noise estimate exceeds a predetermined noise threshold, and otherwise setting the filter transfer function to a predetermined transfer function.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 95.0
- Lexical Diversity: 2.22449
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16045670', '15861339', '12424048', '12455873', '15710382']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2848370103697296
- 35 USC 102 Novelty (BERT): 0.4867057659162805
- Combined Prediction Score: 0.3050238859243847
- Mean Citation Score: 188.518234
- Max Citation Score: 228.73793
- Similarity Product: 178.36659245762527

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