PATENT CLAIM ANALYSIS

Application Number: 16098722
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-04
Patent Classification: ["375", "257000"]

Abstract:
The present disclosure relates to near-end crosstalk (NEXT) cancellation. A transmit communication signal is transmitted over a first Digital Subscriber Line (DSL) connection using a first group of frequencies and a receive communication signal is received over a second DSL connection using a second group of frequencies that at least partially overlaps the first group of frequencies. A crosstalk correlation between the first and second communication signals is determined. Based on the crosstalk correlation, a crosstalk cancellation signal is generated. The crosstalk cancellation signal is subtracted from the second communication signal, with the intention of reducing NEXT.

Claim (Index 20):
The method of  claim 13 ,\n wherein determining the crosstalk correlation comprises generating respective sets of crosstalk coefficients corresponding to different relative phase alignments between the first communication signal and the second communication signal, and storing the crosstalk coefficients to a memory, and wherein generating the crosstalk cancellation signal comprises applying a set of the crosstalk coefficients to the first communication signal based on a current phase alignment between the first communication signal and the second communication signal, to generate the crosstalk cancellation signal.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 98.0
- Lexical Diversity: 2.03774
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13254454', '13520761', '13189095', '11830072', '10836954']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5105624977859906
- 35 USC 102 Novelty (BERT): 0.4988757801107523
- Combined Prediction Score: 0.5093938260184667
- Mean Citation Score: 213.8638
- Max Citation Score: 219.27115
- Similarity Product: 144.95372052870692

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