PATENT CLAIM ANALYSIS

Application Number: 16149186
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["381", "071800"]

Abstract:
An active noise cancellation system and method, in which an active noise controller generates an anti-noise signal based on an error signal, and a loudspeaker operatively coupled to the active noise controller converts the anti-noise signal into anti-noise sound. An acoustic error sensor operatively coupled to the active noise controller picks up sound and converts the picked-up sound into the error signal. The acoustic error sensor is disposed at a front face of the loudspeaker.

Claim (Index 14):
The method of  claim 13 , wherein the active noise controller further comprises a filter controller configured to execute an update procedure, the method further comprising the step of executing at least one update procedure selected from the group consisting of:\n executing an update procedure to implement a stability condition based on a magnitude of a noise control filter transfer function, the stability condition being configured to prevent the loudspeaker from overdrive; and executing an update procedure to update transfer characteristics of a plurality of finite impulse response filters, the update procedure being normalized to at least one reference noise signal representative of noise from at least one noise source.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 97.0
- Lexical Diversity: 2.0
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13557869', '15294278', '15915941', '13559093', '15104819']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6549129778775085
- 35 USC 102 Novelty (BERT): 0.495252964360334
- Combined Prediction Score: 0.638946976525791
- Mean Citation Score: 210.156702
- Max Citation Score: 217.21265
- Similarity Product: 158.67542956288756

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