PATENT CLAIM ANALYSIS

Application Number: 15970510
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["706", "022000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a storage medium, for processing radio signals. In once aspect, a system is disclosed that includes a processor and a storage device storing computer code that includes operations. The operations may include obtaining first output data generated by a first neural network based on the first neural network processing a received radio signal, receiving, by a signal transformer, a second set of input data that includes (i) the received radio signal and (ii) the first output data, generating, by the signal transformer, data representing a transformed radio signal by applying one or more transforms to the received radio signal, providing the data representing the transformed radio signal to a second neural network, obtaining second output data generated by the second neural network, and determining based on the second output data a set of information describing the received radio signal.

Claim (Index 19):
The system of  claim 13 , wherein the operations further comprise:\n providing the second output data to another device to another device that is configured to use the second output data to adjust one or more communications systems.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 93.0
- Lexical Diversity: 2.44928
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15970324', '15955485', '15961465', '15955433', '15961454']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3403712797502272
- 35 USC 102 Novelty (BERT): 0.5038844544686111
- Combined Prediction Score: 0.3567225972220656
- Mean Citation Score: 170.32549
- Max Citation Score: 181.92696
- Similarity Product: 108.85587513605118

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

Dataset: test