PATENT CLAIM ANALYSIS

Application Number: 16132103
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-10
Patent Classification: ["398", "202000"]

Abstract:
A high-speed and high-precision photonic analog-to-digital conversion device capable of realizing intelligent signal processing. Learning ability of deep learning technology is utilized to learn the nonlinear response and channel mismatch effect of the system and configure optimal parameters of the deep network. Deterioration of photonic analog-to-digital conversion system performance caused by nonlinear distortion and channel mismatch distortion is eliminated in real time, and performance indicators thereof are improved. By using the induction and deduction ability of deep learning technology, intelligent signal processing of the input signal is realized, and users are provided with digital signals that meet the requirements. It's important for improving the performance of microwave photonic systems that require high sampling rate, high time precision, and high sampling accuracy, such as microwave photonic radar and optical communication systems, and also critical to improve the signal processing ability of such systems under complex conditions.

Claim (Index 1):
A high-speed and high-precision photonic analog-to-digital conversion device for realizing intelligent signal processing, comprising\n a high-speed photonic analog-to-digital conversion system, the high-speed photonic analog-digital conversion system comprising\n a high-reputation-rate pulse light source, \n a photon sampling gate having a first input port and a second input port, \n a multi-channel demultiplexer module having N output ports, \n a parallelization photoelectric conversion module having N input ports and N output ports, and \n a parallelization electronic-quantization module having N input ports and N output ports, and \n a deep learning signal processing module, the deep learning signal processing module comprising\n a signal source, \n a digital signal processor having an output port, and \n a deep network having N+1 input port, \n wherein an nth output port of the multi-channel demultiplexer module is connected to an nth input port of the parallelization photoelectric conversion module; an nth output port of the parallelization photoelectric conversion module is connected to the nth input port of the parallelization electronic-quantization module; the nth output port of the parallelization electronic-quantization module is connected to the nth input port of the deep network; and n is an integer in a range of from 1 to N.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 97.0
- Lexical Diversity: 1.81609
- Patent Class: 398.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13990161', '13386422', '14698087', '16006101', '13478255']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6530742426383217
- 35 USC 102 Novelty (BERT): 0.4854647976006787
- Combined Prediction Score: 0.6363132981345574
- Mean Citation Score: 168.974198
- Max Citation Score: 183.94719
- Similarity Product: 147.49128232524814

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

Dataset: test