Browsing by Author "Huang, Chia-Ming"

Now showing 1 - 5 of 5

A High Efficiency and Fast Transient Digital Low-Dropout Regulator With the Burst Mode Corresponding to the Power-Saving Modes of DC-DC Switching Converters
(2020-04-01)
Lin, Jian-He
;
Yang, Shang-Hsien
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Muniandi, Balakumar
;
Ma, Yu-Sheng
;
Huang, Chia-Ming
The proposed digital low-dropout regulator uses nonlinear switching control (NLSC) technique to suppress voltage ripple to less than 6mV when the switching noise voltage of a switching regulator operating in a power-saving mode is greater than 50mV. In addition, the NLSC technique improves the current efficiency by reducing the quiescent current to less than 10 A and reduces the switching power loss through variable switching frequency control. With a load step of 1-20mA, the transient response time is 1.3 s and the peak current efficiency is 99.8 at heavy loads.
A High-Efficiency and Fast-Transient Digital-Low-Dropout Regulator with the Burst Mode Corresponding to the Power-Saving Modes of DC-DC Switching Converters
(2018-01-01)
Lin, Jian-He
;
Ma, Yu-Sheng
;
Huang, Chia-Ming
;
Lin, Li-Chi
;
Cheng, Chiao-Hung
A High-Efficiency and Fast-Transient Digital-Low-Dropout Regulator with the Burst Mode Corresponding to the Power-Saving Modes of DC-DC Switching Converters
(2018-01-01)
Lin, Jian-He
;
Ma, Yu-Sheng
;
Huang, Chia-Ming
;
Lin, Li-Chi
;
Cheng, Chiao-Hung
Dynamic-Charging Current-Scaling Technique with Dual Accurate Current Control and Temperature Loops with Charging-Current Accuracy up to 99.6% for 1.6x Faster Lithium-Ion Battery Charging
(2019-01-01)
Lin, Wei-Tin
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Lin, Zong-Yi
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Liu, Chia-Hao
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Huang, Chia-Ming
;
Chu, Li-Cheng
Live Demonstration: A Wireless Multi-channel Physiological Signal Acquisition System-on-Chip for Wearable Devices
(2016-01-01)
Lin, Yu-Shan
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Lee, Sheng-Cheng
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Chen, Yu-Jui
;
Huang, Chia-Ming
;
Chiueh, Herming
A wireless ExG sensor tag with a multi-channel physiological signals acquisition system is demonstrated. The system contains a mixed-signal system-on-chip (SoC) and Bluetooth Low Energy (BLE) chip for data analyzing and wireless transmission. The demonstration presents acquisition of different physiological signals, such as electrocardiogram (ECG), electrooculography (EOG), surface electromyogram (EMG) being real-time recorded and wirelessly displayed on tablet. The power-efficient ExG wireless tag can be easily achieve 12 hours with 200mA battery for continuous recording of ExG signals in healthcare applications.