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 39):
The noise shaper of  claim 38 , wherein:\n the quantization circuitry is further configured to calculate a first quantization of the further parameter and a second quantization of the further parameter; the error calculation circuitry is further configured to calculate a third estimated error within the output signal using the first quantization of the parameter and the second quantization of the further parameter and a fourth estimated error within the output signal using the second quantization of the parameter and the second quantization of the further parameter; and the comparator of the decision making component is configured to decide on the use of the quantization of the parameter and the quantization of the further parameter resulting in the lowest 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): 0.4984968583104113
- 35 USC 102 Novelty (BERT): 0.4777874329175332
- Combined Prediction Score: 0.4964259157711236
- Mean Citation Score: 177.58767
- Max Citation Score: 184.67772
- Similarity Product: 138.8491859097075

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