Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: CMOS low-dropout regulator with improved time response
An Output-Capacitorless Low-Dropout Regulator With Direct Voltage-Spike Detection
A High-Performance Foldback Current Limiting Circuit for Improving Regulators' Latch-up Effect
An NMOS-LDO Regulated Switched-Capacitor DC–DC Converter With Fast-Response Adaptive-Phase Digital Control
A 25mA CMOS LDO with −85dB PSRR at 2.5MHz
Low Input Resistance CMOS Current Comparator Based on the FVF for Low-Power Applications
Investigation on EFT effects in a low dropout voltage regulator
A complete over-current/short-circuit protection system for Low-Drop Out regulators
A fast-transient digital LDO using a double edge-triggered comparator with a completion signal
A low noise, high power supply rejection low dropout regulator for wireless system-on-chip applications
A fully on-chip LDO regulator with a novel PSRR boosting circuit
Split-transistor compensation: Application to a low-dropout voltage regulator (LDO)
A low-power high reliability CMOS current limit circuit
A 1-MHz High-Efficiency 12-V Buck Voltage Regulator With a New Current-Source Gate Driver
Low voltage adjustable CMOS Schmitt trigger
CMOS current comparator with Regenerative property
A current-limiter-based soft-start scheme for linear and low-dropout voltage regulators
Fully Integrated Digitally Assisted Low-Dropout Regulator for a NAND Flash Memory System
a transient - enhanced capacitorless ldo regulator with improved error amplifier .
Design of LDO linear regulator with ultra low-output impedance buffer
Enhancing the performance of output-capacitorless LDO regulators by pass-transistor segmentation
Predictors for Neoplastic Progression in Patients With Barrett's Esophagus: A Prospective Cohort Study
MOS operational amplifier design-a tutorial overview
Special transformers arrangement for AC railway systems
Using a model of social dynamics to predict popularity of news
Cognitive Load Theory vs. Constructivist Approaches: Which Best Leads to Efficient, Deep Learning?