K.M. Tsui
University of Hong Kong
12 Papers
148 Citations
K.M. Tsui is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Finite impulse response & Digital filter. The author has an hindex of 8, co-authored 12 publications.
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Papers
Design of FIR digital filters with prescribed flatness and peak error constraints using second-order cone programming
TL;DR: This paper studies the design of digital finite impulse response (FIR) filters with prescribed flatness and peak design error constraints using second-order cone programming (SOCP), a powerful convex optimization method.
Design and Complexity Optimization of a New Digital IF for Software Radio Receivers With Prescribed Output Accuracy
TL;DR: Two novel algorithms for optimizing the internal wordlengths of linear time-invariant systems are proposed, based on a discrete optimization method called the Marginal Analysis method, and it yields the desired word lengths in integer values.
Efficient Implementation and Design of a New Single-Channel Electrooculography-Based Human–Machine Interface System
J. F. Wu,Andersen Man Shun Ang,K.M. Tsui,H. C. Wu,Yeung Sam Hung,Yong Hu,J. N. F. Mak,S.C. Chan,Zhiguo Zhang +8 more
TL;DR: A novel multiplierless implementation of the signal processing modules of the EOG-based HMI system is developed, where all the algorithms involved, such as bandpass filtering, wavelet filtering, and support vector machine, can be realized using a limited number of adders and shifters only.
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A Recursive Frequency Estimator Using Linear Prediction and a Kalman-Filter-Based Iterative Algorithm
Zhiguo Zhang,S.C. Chan,K.M. Tsui +2 more
TL;DR: Simulation results show that the proposed Kalman-filter-based iterative frequency estimator can achieve better tracking results than the conventional recursive least-squares-based estimators.
A New Method for Designing Causal Stable IIR Variable Fractional Delay Digital Filters
TL;DR: The design of causal stable Farrow-based infinite-impulse response (IIR) variable fractional delay digital filters (VFDDFs) is studied, based on a new model reduction technique which is able to incorporate prescribed flatness and peak error constraints to the IIR VFDDF under the second order cone programming framework.