PATENT CLAIM ANALYSIS

Application Number: 16059183
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["375", "229000"]

Abstract:
According to an embodiment, a control circuit of an equalizer configured to set a first amount to a linear equalizer, determine a second amount optimizing a non-linear equalizer with respect to a first signal generated by the linear equalizer to which the first amount is set, set the second amount to the non-linear equalizer, update an amount from the first amount to a third amount smaller than the first amount based on a magnitude of the first amount, set the third amount to the linear equalizer, determine a fourth amount optimizing the non-linear equalizer with respect to a second signal generated by the linear equalizer to which the third amount is set, and update an amount from the second amount to the fourth amount.

Claim (Index 17):
The method of  claim 16 , wherein\n the linear equalizer further comprises a second circuit that discretely operates with respect to the time domain, and further comprising: setting a fifth control amount to the second circuit; and updating a fifth control amount set to the second circuit to a sixth control amount by increasing a pre-cursor component of the fifth control amount while reducing the first control amounts based on a magnitude of the first control amount.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 96.0
- Lexical Diversity: 3.47368
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15170751', '14485470', '13715629', '09822272', '14790157']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4664495414236627
- 35 USC 102 Novelty (BERT): 0.4816216828150707
- Combined Prediction Score: 0.4679667555628035
- Mean Citation Score: 174.2947
- Max Citation Score: 182.48994
- Similarity Product: 128.83954558658837

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