PATENT CLAIM ANALYSIS

Application Number: 16143002
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["381", "098000"]

Abstract:
A method for generating a prediction curve for acoustic load of a loudspeaker, the loudspeaker including a horn and a diaphragm, one end of the horn is defined as a throat, and the outside of the other end of the horn is free space, wherein a sound wave from the diaphragm passes through the throat and gradually diffuses to the free space outside the other end of the horn, includes defining a cross section or a surface, where the cross section is a cross section of the throat, and the surface is a surface of the diaphragm; integrating a sound pressure value of the cross section or the surface to obtain an effective sound pressure, or integrating acoustic energy of the cross section or the surface to obtain a radiated sound power; and generating the prediction curve according to the effective sound pressure or the radiated sound power, where the prediction curve is an acoustic impedance curve or an acoustic power curve.

Claim (Index 5):
The method according to  claim 3 , wherein the acoustic impedance curve comprises an acoustic resistance curve and an acoustic reactance curve, the method further comprising:\n performing an imaginary number operation on the acoustic impedance curve to generate the acoustic reactance curve.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 97.0
- Lexical Diversity: 3.10714
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12530383', '10649040', '11362933', '15141611', '13630305']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.710867838190969
- 35 USC 102 Novelty (BERT): 0.507432170358689
- Combined Prediction Score: 0.6905242714077411
- Mean Citation Score: 245.478248
- Max Citation Score: 249.10982
- Similarity Product: 154.49503928741933

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test