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Hou-Ming Chen

Researcher at National Formosa University

Publications -  21
Citations -  189

Hou-Ming Chen is an academic researcher from National Formosa University. The author has contributed to research in topics: CMOS & Boost converter. The author has an hindex of 6, co-authored 21 publications receiving 149 citations. Previous affiliations of Hou-Ming Chen include National Chung Hsing University.

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Journal ArticleDOI

A Sub-1 ppm/°C Precision Bandgap Reference With Adjusted-Temperature-Curvature Compensation

TL;DR: The proposed compensation circuit for enhancing the voltage accuracy of the bandgap reference combines an addition circuit, subtraction circuit, and current mirror to achieve an adjusted piecewise linear temperature current over an entire temperature range.
Journal ArticleDOI

An Exact Current-Mode PFM Boost Converter With Dynamic Stored Energy Technique

TL;DR: In this paper, a novel pulse frequency modulation step-up dc-dc converter with maximum power conversion of 9191% and steady-state accuracy of 033% is presented, which uses a dynamic sensing current controller and a load current detector that accurately generates different energy according to various load conditions.
Journal ArticleDOI

A High-Precision Bandgap Reference With a V-Curve Correction Circuit

TL;DR: The proposed VCC circuit generates a correction voltage to reduce the temperature drift of the reference voltage and achieves a low temperature coefficient (TC) in a wide temperature range.
Proceedings ArticleDOI

A novel start-controlled phase/frequency detector for multiphase-output delay-locked loops

TL;DR: In this article, a start-controlled phase/frequency detector (PFD) for multiphase-output delay-locked loops (MODLLs) is presented, which utilizes a new NAND-resetable dynamic DFF so that a shorter reset path is achieved.
Journal ArticleDOI

Implementation of a High-Throughput Modified Merge Sort in MIMO Detection Systems

TL;DR: The method of modified merge sort is proposed, and the results are compared with those of five sorting algorithms, finding that this modified mergesort requires approximately 56% fewer comparators than a bitonic merge sort and approximately 46% fewerComparators than an odd-even merge sort.