PATENT CLAIM ANALYSIS

Application Number: 16240973
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["334", "005000"]

Abstract:
There is provided a method, including obtaining information indicating at least one reference characteristic; obtaining input data, the input data relating to the output of the tunable filter; determining, based on the input data, at least one characteristic of the tunable filter; upon detecting that the at least one determined characteristic does not match with the at least one reference characteristic, determining tuning instructions for the tunable filter; and applying the tuning instructions in adjusting the tunable filter.

Claim (Index 22):
The apparatus of  claim 13 , wherein the at least one memory and the computer program code are configured, with the at least one processor, to cause the apparatus to perform operations comprising:\n performing the tuning of the filter in a plurality of cycles, each cycle comprising the steps of re-determining the at least one characteristic on the basis of new input data, determining new tuning instructions for the tunable filter, and applying the new tuning instructions in the adjustment of the tunable filter; and considering that the tuning of the filter is accomplished when the at least one re-determined characteristic matches with the at least one reference characteristic according to a predetermined tuning accuracy.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 99.0
- Lexical Diversity: 2.0
- Patent Class: 334.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15511899', '15797582', '10433607', '11289463', '11136752']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5443243881981926
- 35 USC 102 Novelty (BERT): 0.4785868046852197
- Combined Prediction Score: 0.5377506298468954
- Mean Citation Score: 124.518428
- Max Citation Score: 195.93172
- Similarity Product: 152.032520286448

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

Dataset: test