PATENT CLAIM ANALYSIS

Application Number: 16068016
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["341", "051000"]

Abstract:
A signal encoder divides the signal into segments and uses prediction models to approximate the samples of each segment Each local prediction model, each applicable to one segment, is applied in its own translated axis system within the segment and the offset is given by the last predicted value for the previous segment. When the signal is reasonably continuous, it alleviates the need to parameterize the offset for each local predictor model as each local predictor model can build on this last predicted sample value of the previous segment. The encoder as a consequence doesn't suffer from a build up of error even though the offset is not transmitted but instead the last predicted value of the last sample of the previous segment is used. Prediction errors are obtained for the approximated samples and transmitted to the decoder, together with the predictor model parameters and seed value to allow accurate reconstruction of the signal by the decoder.

Claim (Index 16):
An encoding method as claimed in  claim 14  where the method encoder further comprises the step of:\n determining an prediction error for each sample to be corrected, the prediction error being a difference between a sample value of a sample and an predicted sample value of said sample, and providing the prediction error for each sample to be corrected for inclusion in the encoded signal.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 1.97619
- Patent Class: 341.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15933108', '14781219', '12671631', '09853883', '14655037']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5623669626679898
- 35 USC 102 Novelty (BERT): 0.5048695955956534
- Combined Prediction Score: 0.5566172259607562
- Mean Citation Score: 199.5742
- Max Citation Score: 206.31525
- Similarity Product: 143.28967322230338

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

Dataset: test