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Meng-Fan Wu

Researcher at National Taiwan University

Publications -  12
Citations -  129

Meng-Fan Wu is an academic researcher from National Taiwan University. The author has contributed to research in topics: Automatic test pattern generation & Noise. The author has an hindex of 6, co-authored 12 publications receiving 128 citations.

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Proceedings ArticleDOI

Reducing Power Supply Noise in Linear-Decompressor-Based Test Data Compression Environment for At-Speed Scan Testing

TL;DR: This work is the first to solve the yield loss caused by excessive power supply noise in at-speed scan testing by proposing a novel integrated ATPG scheme that efficiently and effectively performs compressible X-filling.
Proceedings ArticleDOI

Improved weight assignment for logic switching activity during at-speed test pattern generation

TL;DR: In this article, a new weight assignment scheme for logic switching activity was proposed, which enhances the IR-drop assessment capability of the existing weighted switching activity (WSA) model by including the power grid network structure information.
Proceedings ArticleDOI

An Efficient Peak Power Reduction Technique for Scan Testing

TL;DR: A low power test pattern generation technique which minimizes the peak power consumption associated with the scan and capture operations and iteratively replaces the high power consumption patterns with low power ones generated by a PODEM-based low power ATPG.
Journal ArticleDOI

Power Supply Noise Reduction for At-Speed Scan Testing in Linear-Decompression Environment

TL;DR: A novel integrated automatic test pattern generation scheme that efficiently and effectively performs compressible low-capture-power X -filling in the linear-decompressor-based test compression environment is proposed.
Journal ArticleDOI

LPTest: a Flexible Low-Power Test Pattern Generator

TL;DR: A low power test pattern generator, LPTest, that minimizes the peak power consumption during the shift and capture cycles for scan-based stuck-at and transition fault testing and incorporates both power-aware ATPG and low-power X-filling techniques to achieve higher power reduction.