PATENT CLAIM ANALYSIS

Application Number: 16101930
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-05
Patent Classification: ["340", "005610"]

Abstract:
The disclosure relates to pattern detection unit and associated method. The unit comprises a shift register configured to over-sample a multi-bit input signal such that each bit of the input signal is represented by a plurality of samples in the shift register; and a correlator configured to compare a target pattern with two or more sample-sets, each sample-set comprising a corresponding sample from each of the plurality of samples of each bit, and classify each compared sample-set as one of: an exact match; an inexact match; or a non-match to the target pattern in order to determine whether or not the input signal matches the target pattern.

Claim (Index 13):
The pattern detection unit of  claim 1 , configured to be operable in a first-mode-of-operation and a second-mode-of-operation, wherein:\n in the first-mode-of-operation:\n the correlator is configured to compare the target pattern with two or more of the plurality of samples of each bit from the shift register in order to determine whether or not the input signal matches the target pattern; and \n in the second-mode-of-operation:\n the correlator is configured to compare the target pattern with only one of the plurality of samples of each bit from the shift register in order to determine whether or not the input signal matches the target pattern; and \n the pattern detection unit further comprises a controller configured to set the mode of operation of the pattern detection unit based on user input or automatically.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 96.0
- Lexical Diversity: 1.85484
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13331303', '11524024', '13670211', '11939513', '10794126']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6946896440926966
- 35 USC 102 Novelty (BERT): 0.4770946018203421
- Combined Prediction Score: 0.6729301398654612
- Mean Citation Score: 170.16663200000005
- Max Citation Score: 172.79701
- Similarity Product: 135.18332292880177

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

Dataset: test