PATENT CLAIM ANALYSIS

Application Number: 15970324
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 computer storage media, for training and deploying machine-learned communication over radio frequency (RF) channels. One of the methods includes: determining first information; using an encoder machine-learning network to process the first information and generate a first RF signal for transmission through a communication channel; determining a second RF signal that represents the first RF signal having been altered by transmission through the communication channel; using a decoder machine-learning network to process the second RF signal and generate second information as a reconstruction of the first information; calculating a measure of distance between the second information and the first information; and updating at least one of the encoder machine-learning network or the decoder machine-learning network based on the measure of distance between the second information and the first information.

Claim (Index 9):
The method of  claim 1 , further comprising:\n processing the first RF signal to generate a first analog RF waveform that is input into the communication channel; receiving a second analog RF waveform as an output of the communication channel that represents the first analog RF waveform having been altered by the communication channel; and processing the second analog RF waveform to generate the second RF signal.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 93.0
- Lexical Diversity: 2.22059
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15961454', '15961465', '15380399', '16304396', '15369849']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3763838902088649
- 35 USC 102 Novelty (BERT): 0.5229980703311098
- Combined Prediction Score: 0.3910453082210894
- Mean Citation Score: 236.649754
- Max Citation Score: 341.5363200000001
- Similarity Product: 227.91216901742945

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