PATENT CLAIM ANALYSIS

Application Number: 16038658
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["375", "229000"]

Abstract:
The disclosure relates to a method performed by an optical receiver, the method comprising receiving an optical communication signal comprised in a signal space, the signal comprising a set of received training symbols and a set of received payload symbols, determining a kernel operating in a feature space by using the set of training symbols and a reference set of training symbols indicative of an undistorted version of the training symbols, wherein determining a kernel further comprises determining at least an equalization mapping function ƒ configured to map received symbols to channel equalized symbols, and determining an error function (e) configured to generate a measure indicative of an error between symbols mapped by the equalization mapping function ƒ and an ideal equalization mapping function, performing nonlinear equalization of the payload symbols (C′ 1  to C′ M ) by performing linear equalization of the payload symbols (C′ 1  to C′ M ) in the feature space using the received training symbols (C 1  to C N ) and the error function (e). The disclosure further relates to an optical receiver

Claim (Index 3):
The method according to  claim 1 , wherein the kernel is a Mercer kernel.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 95.0
- Lexical Diversity: 2.8806
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15530179', '12772350', '09825268', '14521364', '14743119']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4828795072255164
- 35 USC 102 Novelty (BERT): 0.5071701321469255
- Combined Prediction Score: 0.4853085697176573
- Mean Citation Score: 164.19414999999995
- Max Citation Score: 173.09775
- Similarity Product: 93.38807229736447

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test