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King Yuk Chan

Researcher at University of New South Wales

Publications -  62
Citations -  631

King Yuk Chan is an academic researcher from University of New South Wales. The author has contributed to research in topics: Insertion loss & Band-pass filter. The author has an hindex of 12, co-authored 56 publications receiving 508 citations. Previous affiliations of King Yuk Chan include Commonwealth Scientific and Industrial Research Organisation.

Papers
More filters
Journal ArticleDOI

Scalable RF MEMS Switch Matrices: Methodology and Design

TL;DR: In this paper, the authors proposed new solutions for implementing wideband large switch matrices based on crossbar and L-shaped topologies, which indicated less variation of characteristics for certain types of connectivity.
Journal ArticleDOI

Substrate Integrated Waveguide H-Plane Horn Antenna With Improved Front-to-Back Ratio and Reduced Sidelobe Level

TL;DR: In this article, a cost-effective way of reducing sidelobe level and improving front-to-back ratio of the substrate integrated waveguide H-plane horn antennas is proposed.
Journal ArticleDOI

RF MEMS Switchable Interdigital Bandpass Filter

TL;DR: In this paper, a three-pole filter capable to switch to three different states is designed using the MEMS contact type switches in tunable filters, which allows both the adjustment of resonant frequency and the input/output and inter-resonator coupling.
Journal ArticleDOI

Low-Cost Ku-Band Waveguide Devices Using 3-D Printing and Liquid Metal Filling

TL;DR: In this paper, a simple, low-cost, hours-long fabrication method for microwave waveguide components of high RF performance is presented, combining 3-D-printed configurations with liquid metal waveguide structures.
Proceedings ArticleDOI

Monolithic crossbar MEMS switch matrix

TL;DR: In this paper, a novel approach to implement RF MEMS large size switch matrices is presented based on the implementation of a crossbar switch matrix and the introduction of unique switch cells that can be easily used to expand the matrix size.