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 7):
A signal decoder\n comprising an input for receiving an encoded signal comprising seed values and sets of predictor model parameters representing segments of the signal, an output for providing a decoded signal, the signal decoder further comprising:\n a reconstructor comprising an input for receiving seed values and predictor model parameters from the decoder input and a reconstructor output for providing reconstructed segments comprising reconstructed samples, each reconstructed sample having a reconstructed sample value, \n the reconstructor being arranged to reconstruct a first segment by calculating the reconstructed sample value (recon(1) . . . recon(n)) of each reconstructed sample of the first segment using a first seed value and a first set of predictor model parameters and to reconstruct a second segment, subsequent to the first segment, by calculating the 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,\n a sequencer having a sequencer input for receiving the first segment and the second segment from the reconstructor, the sequencer being arranged for constructing the decoded signal by appending the reconstructed samples of the second reconstructed segment to the reconstructed samples of the first reconstructed segment and providing the resulting decoded signal to the output of the signal decoder, 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): 0.5332927165748066
- 35 USC 102 Novelty (BERT): 0.5010836516082895
- Combined Prediction Score: 0.530071810078155
- Mean Citation Score: 199.5742
- Max Citation Score: 206.31525
- Similarity Product: 145.6762808778137

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