diff --git a/201 Metadata/My Library.bib b/201 Metadata/My Library.bib index d90c95226..9321c3fb1 100644 --- a/201 Metadata/My Library.bib +++ b/201 Metadata/My Library.bib @@ -7601,6 +7601,26 @@ for defect classification of TFT–LCD panels.pdf} file = {/home/danesabo/Zotero/storage/84GMPWDD/DBN for aircraft wing health monitoring DT.pdf} } +@article{linInnovativeSuccessiveApproximation2021, + title = {An {{Innovative Successive Approximation Register Analog-to-Digital Converter}} for a {{Nine-Axis Sensing System}}}, + author = {Lin, Chih-Hsuan and Wen, Kuei-Ann}, + date = {2021-03}, + journaltitle = {Journal of Low Power Electronics and Applications}, + volume = {11}, + number = {1}, + pages = {3}, + publisher = {Multidisciplinary Digital Publishing Institute}, + issn = {2079-9268}, + doi = {10.3390/jlpea11010003}, + url = {https://www.mdpi.com/2079-9268/11/1/3}, + urldate = {2025-03-28}, + abstract = {With nine-axis sensing systems in 5G smartphones, mobile power consumption has become increasingly important, and ultra-low-power (ULP) sensor circuits can decrease power consumption to tens of microwatts. This paper presents an innovative successive approximation register analog-to-digital converter, which comprises fine (three most significant bits (MSBs) plus course conversion (11 least significant bits (LSBs)) capacitive digital-to-analog converters (CDACs), ULP, four-mode reconfigurable resolution (9, 10, 11, or 12 bits), an internally generated clock, meta-detection, the switching base midpoint voltage (Vm) (SW-B-M), bit control logic, multi-phase control logic, fine (three MSBs) plus course conversion (11 LSBs) switch control logic, phase control logic, and an input signal plus negative voltage (VI + NEG) voltage generator. Then, the mechanism of the discrete Fourier transform (DFT)-based calibration is applied. The scalable voltage technique was used, and the analog/digital voltage was Vanalog (1.5 V) and Vdigital (0.9 V) to meet the specifications of the nine-axis ULP sensing system. The CDACs can reconfigure four-mode resolutions, 9–12 bits, for use in nine-axis sensor applications. The corresponding dynamic signal-to-noise and distortion ratio performance was 50.78, 58.53, 62.42, and 66.51 dB. In the 12-bit mode, the power consumption of the ADC was approximately 2.7 μW, and the corresponding figure of merit (FoM) was approximately 30.5 fJ for each conversion step.}, + issue = {1}, + langid = {english}, + keywords = {DFT-based,fine (3 MSBs) plus course conversion (11 LSBs) CDAC,reconfigurable,SAR-ADC}, + file = {/home/danesabo/Zotero/storage/DKEJCQ8S/Lin and Wen - 2021 - An Innovative Successive Approximation Register Analog-to-Digital Converter for a Nine-Axis Sensing.pdf} +} + @article{linUncertaintyQuantificationSoftware2021, title = {Uncertainty Quantification and Software Risk Analysis for Digital Twins in the Nearly Autonomous Management and Control Systems: {{A}} Review}, shorttitle = {Uncertainty Quantification and Software Risk Analysis for Digital Twins in the Nearly Autonomous Management and Control Systems},