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 14):
A method for encoding a signal comprising frames,\n each frame comprising sequential samples into an encoded signal, the method comprising the steps of:\n segmenting the sequential samples of a frame into segments comprising n sequential samples, \n predicting samples of a first segment, received from the segmenter, starting from a first seed sample having a first seed value and determine a first set of predictor model parameters by predicting the n sequential samples of the first segment using a first predictor model and subsequently predict samples of a second segment, received from the segmenter subsequent to the first segment, starting from a second seed sample having a second seed value and determine a second set of predictor model parameters by predicting the n sequential samples of the second segment using a second predictor model \n outputting an encoded signal comprising seed values and prediction model parameters to the output of the encoder, \n characterized in that the second seed value that second seed value equals an predicted value of a last sample 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): 0.534314078977499
- 35 USC 102 Novelty (BERT): 0.496949449086753
- Combined Prediction Score: 0.5305776159884245
- Mean Citation Score: 199.5742
- Max Citation Score: 206.31525
- Similarity Product: 152.306284938097

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