Shuo Liu

• research on the relation between sparse reconstruction and parameter estimation with model order selection. • implemented the sparse reconstruction algorithm and evaluated the performance by running Monte-Carlo-Simulation.

Master Project: Emotion Classification Based on Psychophysiological Signals, which focused on biosignal features extraction and proposed robust regularized discriminant analysis.

• supervised a series of DSP labs which are related to basic digital signal processing and some state-of-art applications. • corrected students’ reports of the labs and delivered active feedback.

• research on array signal processing and application of compressive sensing. • implemented algorithm of biomedical array signal processing and radar signal processing. • generated slides of seminar lectures ”Advanced Topics in Statistical Signal Processing ”.

• simulated the performance of a patch antennas array. • fabricated and tested a self-designed coupler.

Tunable Multiband-Filter with Flexible Transmission Zeros: designed four prototypes of microwave filters, which have tunable center-frequencies and bandwidths. More importantly, two transmission zeros were added to sharpen the filters’ transition bands. Furthermore, the transmission zeros were employed to suppress interference from other frequency components.

0-2-1 Structure Sigma-Delta DAC Converter with Pipelines: designed an important component of digital circuit DAC Converter, where sigma-delta is a specific structure as respect to algorithm, which can push noise to irrelevant frequency band, therefore high SNR can be obtained. The algorithm was tested in Matlab environment and then translated into Verilog, so that it was convenient to implement it on FPGA board with ARM architecture.

Distributed Localization and Tracking by Particle Filters: • investigated an algorithm to localize a static target considering the data fusion of several localization algorithms, including Direction of Arrival (DOA), Time of Arrival (TOA) and Time Difference of Arrival (TDOA). The implemented distributed localizer can even work for slow-moving target. However, a dynamic target was tracked by modifying particle filter, which is special realization of Markov chain Monte Carlo (MCMC).

• simulated the performance of a patch antennas array. • fabricated and tested a self-designed coupler.

• store service and consult.

Signal processing & Microwave engineering, GPA: 1.2

Telecommunication network & Exchange technology. GPA: 2.4