PATENT CLAIM ANALYSIS

Application Number: 16004282
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["375", "140000"]

Abstract:
A method for generating a spreading sequence is disclosed. The method includes receiving a plurality of signals from a remote device. The plurality of signals is sampled to generate a plurality of data sets corresponding to the plurality of signals, respectively. Each data set indicates a power value of the corresponding signal. From the plurality of data sets, one or more data sets indicating a power value greater than a predetermined value is selected. A spreading sequence is generated based on the one or more selected data sets.

Claim (Index 1):
A device comprising:\n one or more processors; and memory in communication with the one or more processors, the memory comprising code that, when executed, causes the one or more processors to control the device to:\n receive a plurality of signals from a remote device; \n sample the plurality of signals to generate a plurality of data sets corresponding to the plurality of signals, respectively, each data set indicating a power value of the corresponding signal; \n select, from the plurality of data sets, one or more data sets indicating a power value greater than a predetermined value; and \n generate a spreading sequence based on the one or more selected data sets.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 94.0
- Lexical Diversity: 2.08696
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15275176', '12496214', '10334947', '12396828', '12344962']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4568942749005357
- 35 USC 102 Novelty (BERT): 0.4812756021317075
- Combined Prediction Score: 0.4593324076236529
- Mean Citation Score: 167.483466
- Max Citation Score: 231.54897000000005
- Similarity Product: 193.12899412547176

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