PATENT CLAIM ANALYSIS

Application Number: 16052890
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-09
Patent Classification: ["341", "143000"]

Abstract:
A dither is an uncorrelated signal, usually pseudo-random noise injected into the input of an ADC such that a given input value of the wanted signal becomes spread over a plurality of codes. This reduces the effect of DNL and also smooths the integral non-linearity (INL) response of the ADC. The advantages of introducing dither could be obtained without having to perturb the signal input to the ADC. This avoids the introduction of additional components in the ADC. The dither can be applied to the components used to form a residue of the ADC stage within a pipelined converter. For example, a dither can be applied solely to a DAC part or different dithers can be applied to a ADC and DAC parts respectively. This allows greater flexibility of linearization of the ADC response and the formation of an analog residue by the DAC.

Claim (Index 13):
A method of operating first and second stages of an analog to digital converter where the first stage forms a residue which is digitized by the second stage, the first stage comprising a first stage analog to digital converter and at least one sampling digital to analog converter, the method comprising:\n receiving a dither value, applying the dither value to the first stage analog to digital converter, using the first stage analog to digital converter to form a digital code, applying the digital code either directly or in a modified form to the at least one sampling digital to analog converter such that the sampling digital to converter outputs an analog residue value, and passing the analog residue value to the second stage.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 1.89024
- Patent Class: 341.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15170051', '16053455', '14162559', '15975885', '14162572']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6391443681989444
- 35 USC 102 Novelty (BERT): 0.5166866235476562
- Combined Prediction Score: 0.6268985937338156
- Mean Citation Score: 294.76665
- Max Citation Score: 306.63547
- Similarity Product: 253.36055961634696

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

Dataset: test