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 16):
A system comprising:\n an active noise controller having a plurality of adaptive noise filters connected in parallel, the active noise controller is configured to generate an anti-noise signal based on an error signal; each adaptive noise filter has a finite impulse response filter with a filter length different from the other adaptive noise filters; a loudspeaker having a front face, the loudspeaker operatively coupled to the active noise controller and configured to convert the anti-noise signal into anti-noise sound; an acoustic error sensor disposed at the front face of the loudspeaker, the acoustic error sensor operatively coupled to the active noise controller, the acoustic error sensor being configured to pick up sound and to convert the picked-up sound into the error signal; and one or more reference sensors operatively coupled to the active noise controller and configured to provide 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): 0.6567190959441457
- 35 USC 102 Novelty (BERT): 0.4870167645946264
- Combined Prediction Score: 0.6397488628091937
- Mean Citation Score: 210.156702
- Max Citation Score: 217.21265
- Similarity Product: 173.56580783121586

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