PATENT CLAIM ANALYSIS

Application Number: 16222217
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-06
Patent Classification: ["455", "067130"]

Abstract:
A method performed by at least one processor of a wireless communication apparatus including a plurality of internal components, the method includes generating a plurality of sets of noise information corresponding to a plurality of test noise signals generated by the plurality of internal components under a plurality of state conditions, receiving a radio frequency (RF) signal, determining a magnitude of a noise signal that interferes with the RF signal by using a set of noise information corresponding to a current state condition from among the plurality of sets of noise information, and performing noise filtering on the RF signal based on a magnitude of the RF signal and the magnitude of the noise signal.

Claim (Index 17):
The wireless communication apparatus of  claim 16 , wherein:\n the RF integrated circuit comprises a variable gain amplifier; and the at least one processor is configured to execute the computer-readable instructions to,\n control a gain of the variable gain amplifier to obtain a constant magnitude of the respective test noise signal, and \n measure the magnitude of the respective test noise signal according to the frequency band using the gain of the variable gain amplifier.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 98.0
- Lexical Diversity: 2.17857
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12574378', '12397876', '10993294', '11861088', '15751840']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6995507254180889
- 35 USC 102 Novelty (BERT): 0.4705662548255837
- Combined Prediction Score: 0.6766522783588385
- Mean Citation Score: 154.864012
- Max Citation Score: 157.77002
- Similarity Product: 117.55262093008756

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