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 19):
A decoding method\n for decoding an encoded signal comprising seed values and sets of predictor model parameters representing segments of the encoded signal, the decoding method comprising the steps of:\n reconstructing a first segment by calculating a reconstructed sample value (recon(1) . . . recon(n)) of each reconstructed sample of a first segment using a first seed value and a first set of predictor model parameters and reconstructing a second segment, subsequent to the first segment, by calculating a reconstructed sample value (recon(n+1) . . . recon(n+n)) of each reconstructed sample of the second segment using a second seed value and a second set of predictor model parameters, and \n constructing the decoded signal by appending the reconstructed samples of the second reconstructed segment to the reconstructed samples of the first reconstructed segment, \n characterized in that the second seed value equals a last reconstructed sample value of the first segment.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 1.97619
- Patent Class: 341.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15933108', '14781219', '12671631', '09853883', '14655037']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5341566794744819
- 35 USC 102 Novelty (BERT): 0.4975865200166404
- Combined Prediction Score: 0.5304996635286977
- Mean Citation Score: 199.5742
- Max Citation Score: 206.31525
- Similarity Product: 151.28454754963516

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