PATENT CLAIM ANALYSIS

Application Number: 15774029
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["369", "059110"]

Abstract:
There is provided a recording adjustment device, a recording adjustment method, and a program of which enables recording compensation for an optical disc for a high-linear density to be realized. The recording adjustment device according to an embodiment of the present technique executes filter processing on the basis of a regenerative signal obtained by reproducing data recorded in a recording medium, and a recording pattern of marks and spaces of the data, identifies an impulse response of a system, calculates a difference in amplitude between an output from the filter processing after the identification of the impulse response and the regenerative signal every edge type, and detects a slope of a step response in the vicinity of an edge position.

Claim (Index 2):
The recording adjustment device according to  claim 1 , wherein after the data as the recording target is recorded in the recording medium, the filter processing portion identifies the impulse response of the system on the basis of the regenerative signal obtained by reproducing the data as the recording target recorded in the recording medium, and the recording pattern newly recorded in the storage portion.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 1.88235
- Patent Class: 369.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11344184', '12959756', '10201939', '11091663', '12918108']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6180002364242371
- 35 USC 102 Novelty (BERT): 0.5063488222270903
- Combined Prediction Score: 0.6068350950045225
- Mean Citation Score: 178.83490799999996
- Max Citation Score: 191.04129
- Similarity Product: 131.43471532839774

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

Dataset: test