PATENT CLAIM ANALYSIS

Application Number: 16286147
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["398", "198000"]

Abstract:
Disclosed herein is a dual parallel Mach-Zehnder-modulator (DPMZM) device comprising a DPMZM  10  having first and second inner MZMs arranged parallel to each other. The first inner MZM generates an in-phase component E I  of an optical signal in response to a first driving voltage V I , and the second inner MZM generates a quadrature component E Q  of said optical signal in response to a second driving voltage V Q . Further disclosed is a calculation unit  52  configured for receiving an in-phase component y I  and a quadrature component y Q  of a desired base-band signal, and for calculating pre-distorted first and second driving voltages V I , V Q . The calculation of the pre-distorted first and second driving voltages V I , V Q  is based on a model of said DPMZM  10  accounting for I-Q cross-talk, and using an algorithm that determines said first and second driving voltages V I , V Q  each as a function of both of said in-phase and quadrature components y I , y Q  of said base-band signal.

Claim (Index 10):
The DPMZM device of one of  claim 3 , wherein said receiver is a far-end receiver or a local monitoring receiver associated with the DPMZM device, wherein said receiver is preferably a coherent receiver.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 99.0
- Lexical Diversity: 2.54795
- Patent Class: 398.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15119072', '14183767', '15529027', '15179704', '15810671']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6621928480980886
- 35 USC 102 Novelty (BERT): 0.6209115291559121
- Combined Prediction Score: 0.658064716203871
- Mean Citation Score: 304.28569
- Max Citation Score: 556.98145
- Similarity Product: 442.6583044836492

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

Dataset: test