PATENT CLAIM ANALYSIS

Application Number: 15969547
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["341", "120000"]

Abstract:
Capacitor arrays and methods of operating a digital to analog converter are described. In an embodiment, a capacitor array includes a unit capacitor (Cu) structure characterized by a unit capacitance value, a plurality of different super-unit capacitor structures, and a plurality of different sub-unit capacitor structures, each different sub-unit capacitor structure having a different capacitance defined by a division of the unit capacitance value.

Claim (Index 19):
A method of operating a digital to analog converter comprising;\n receiving a digital input signal; assigning separate bits to a unit capacitor and a plurality of different sub-unit capacitors in a capacitor array with correlated capacitance error; wherein each different sub-unit capacitor structure has a different capacitance defined by a division of the unit capacitance value corresponding to 1/(2{circumflex over (\u2003)}n), wherein (n) is an integer value from 1 to a maximum subdivision (n_max) that corresponds to a least significant bit (LSB) of the capacitor array, and n_max\u22652; wherein the unit capacitor has error of e 0 *Cu, and each subunit capacitor has an error of e a *Cu*1/(2{circumflex over (\u2003)}n), n=1, 2, . . . n_max, wherein an unused area of the unit capacitor for constructing each of the different sub-unit capacitor structures has a capacitance value of Cu/(2{circumflex over (\u2003)}n_max) and an error of e u *Cu/(2{circumflex over (\u2003)}n_max).

Metadata:
- Claim Count in Document: 11.0
- Percentile: 93.0
- Lexical Diversity: 1.8
- Patent Class: 341.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15890135', '13401485', '12483250', '14580181', '13393685']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5554295338091567
- 35 USC 102 Novelty (BERT): 0.4599110431005232
- Combined Prediction Score: 0.5458776847382933
- Mean Citation Score: 140.63125799999997
- Max Citation Score: 148.703
- Similarity Product: 121.52374406808616

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