PATENT CLAIM ANALYSIS

Application Number: 16018452
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["381", "071100"]

Abstract:
An apparatus and method are presented for an active noise control system with a selector mechanism to select an appropriate reference signal for an active noise control algorithm responsive to several noise sources, some of which generate may sounds intermittently.

Claim (Index 12):
A noise cancellation method, the method comprising:\n providing a plurality of reference input sensors arranged around a perimeter of a spatial zone; receiving at a selection mechanism a plurality of reference sensor inputs representative of one or more noise sound waves from the plurality of reference signal sensors; selecting at the selection mechanism a reference control signal from the plurality of reference input signals; providing the reference control signal from the selection mechanism to a control unit; providing an error input signal to the control unit from an error input sensor proximate to the spatial zone; executing an adaptive noise cancellation algorithm at the control unit, based on the reference control signal and the error input signal; providing an output control signal from the control unit to an output control transducer to generate a control sound wave configured to destructively interfere with the noise sound waves when the noise sound waves enter the spatial zone.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 94.0
- Lexical Diversity: 1.23529
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15915941', '12984941', '13837242', '14965176', '15365496']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6721382415144828
- 35 USC 102 Novelty (BERT): 0.4635524851601764
- Combined Prediction Score: 0.6512796658790522
- Mean Citation Score: 175.21525400000004
- Max Citation Score: 192.14714
- Similarity Product: 165.1079177067447

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