PATENT CLAIM ANALYSIS

Application Number: 15878334
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["375", "232000"]

Abstract:
Systems and techniques relating to channel degradation detection for communication systems are described. A described system includes a processor and an interface to transmit signals and receive signals via a channel that includes a cable. The processor can be configured to perform echo cancellation based on echo tap values to remove portions of the transmitted signals that appear as echoes within the received signals, signal equalization based on equalizer tap values, or both. The processor can be configured to determine a channel quality indicator of the channel based on one or more of the echo tap values, one or more of the equalizer tap values, or both. The processor can be configured to generate a warning indication based on the channel quality indicator indicating a degradation of the cable or the channel.

Claim (Index 2):
The apparatus of  claim 1 , wherein the channel quality indicator comprises a return loss channel quality indicator of the channel that is based on one or more of the echo tap values, an insertion loss channel quality indicator of the channel that is based on one or more of the equalizer tap values, or both the return loss channel quality indicator and the insertion loss channel quality indicator.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 86.0
- Lexical Diversity: 2.2381
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15380965', '15825937', '15164364', '10318423', '11530939']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4506689057489262
- 35 USC 102 Novelty (BERT): 0.5643793221548652
- Combined Prediction Score: 0.4620399473895202
- Mean Citation Score: 239.103616
- Max Citation Score: 433.03476
- Similarity Product: 349.4926490367293

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