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In this project, we surveyed the statistical guarantee and the state-of-the-art optimization algorithms of reconstructive dictionary learning for restoration task and predictive dictionary learning for classification/regression task.

K.-C. Hsu, B.-H. Cho, C.-Y. Chou and A.-Y. (ANDY) Wu, ''Low-Complexity Compressed Analysis in Eigenspace with Limited Labeled Data for Real-Time Electrocardiography Telemonitoring,'' Signal and Information Processing (GlobalSIP), 2018 IEEE Global Conference on.

K.-C. Hsu and J.-F. Kiang, ''Joint Estimation of DOA and Carrier Frequency Based on Coprime Arrays ,'' Progress In Electromagnetics Research Symposium, 2018.

K.-C. Hsu and J.-F. Kiang, ''DOA Estimation Using Triply Primed Arrays Based on Fourth-Order Statistics,'' Progress In Electromagnetics Research M (PIER M), vol. 67, pp. 55-64, 2018.
K.-C. Hsu and J.-F. Kiang, ''DOA Estimation With Triply Primed Arrays Based on Fourth-Order Statistics,'' IEEE International Symposium on Antennas Propagation and USNC/URSI National Radio Science Meeting, 2018.

We implemented an automatic cutting machine, which could cut the target into demanded pieces equally.

We analyzed the tradeoff between hardware resource requirement and top-1 accuracy of state-of-the-art CNN models.

Our team got the Second Prize in the competition and was rewarded with Professor Chun-Hsiung Chen Scholarship.

We implemented a user-friendly GUI based on MATLAB to discuss the performances of four possible handover policy under different environment.

K.-C. Hsu and J.-F. Kiang, ''DOA Estimation of Quasi-Stationary Signals Using a Partly-Calibrated Uniform Linear Array with Fewer Sensors than Sources,'' Progress In Electromagnetics Research M (PIER M), vol. 63, pp. 185-193, 2018.

We implemented the pipelined MIPS CPU, which supported mult/div instruction and conducted branch prediction.