PATENT CLAIM ANALYSIS

Application Number: 15750257
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["375", "296000"]

Abstract:
A method for determining a noise shaped quantized parameter contributing to generation of an output signal comprises estimating an error within the output signal using a quantization of the parameter and a quantization of a further parameter contributing to generation of the output signal. The quantization of the parameter is used as the noise shaped quantized parameter according to a selection criterion.

Claim (Index 38):
The noise shaper of  claim 37 , wherein:\n the quantization circuitry is configured to calculate a first quantization of the parameter and a second quantization of the parameter; the error calculation circuitry is configured to calculate a first estimated error within the output signal using the first quantization of the parameter and the quantization of the further parameter and to calculate a second estimated error within the output signal using the second quantization of the parameter and the quantization of the further parameter; and the decision making component comprises a comparator configured to compare the first estimated error and the second estimated error to decide on the use of the quantization of the parameter resulting in the lower estimated error.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 88.0
- Lexical Diversity: 1.93939
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13946457', '11258858', '14081862', '15131773', '13400019']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4974155979711809
- 35 USC 102 Novelty (BERT): 0.4819878634952729
- Combined Prediction Score: 0.4958728245235901
- Mean Citation Score: 177.58767
- Max Citation Score: 184.67772
- Similarity Product: 133.50769077349662

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

Dataset: test