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S.C. Chan

Researcher at University of Hong Kong

Publications -  103
Citations -  2377

S.C. Chan is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Digital filter & Adaptive filter. The author has an hindex of 27, co-authored 103 publications receiving 2198 citations.

Papers
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Journal ArticleDOI

Demand Response Optimization for Smart Home Scheduling Under Real-Time Pricing

TL;DR: Simulation result shows that the energy scheduling of SAs and other appliances can be determined simultaneously using the proposed CP formulation, and its major advantage is that the overall DR optimization problem remains to be convex and therefore the solution can be found efficiently.
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Load/Price Forecasting and Managing Demand Response for Smart Grids: Methodologies and Challenges

TL;DR: The objectives of this article are to introduce to the signal processing community the concept of smart grids, especially on the problems of price/load forecasting and DR management (DRM) and optimization, and highlight related signal processing applications and state-of-the-art methodologies.
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A new two-dimensional fast cosine transform algorithm

TL;DR: Derivation based on both the sequence splitting and Kronecker matrix product method are discussed, which has the advantage that all the underlying operations are shown clearly, while the matrix product representations are more compact and readily generalized to higher dimensions.
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Pattern Synthesis of Narrowband Conformal Arrays Using Iterative Second-Order Cone Programming

TL;DR: In this paper, a new design method is proposed for the power or shaped beam pattern synthesis problem of narrowband conformal arrays, where only the magnitude response is specified, and the proposed method iteratively linearizes the non-convex power pattern function to obtain a convex subproblem in the design variables, which can be solved optimally using second-order cone programming.
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Timing Estimation and Resynchronization for Amplify-and-Forward Communication Systems

TL;DR: Using the parameter estimates and uncertainty information in the analysis, timing resynchronization algorithms that are robust to estimation errors are designed jointly at the relays and the destination and are numerically shown to provide excellent performances that approach the synchronized case with perfect channel information.