Electrical Engineering Project
Resume:
Shih-Chung Su
Hacienda Hts CA 91745
*********.**@****.***
A MSEE student with background in communications systems, proven C++/Matlab skills
Objective
and strong analytical ability seeking for digital communications, digital signal processing
and software development related job posts.
University of California Los Angeles, Los Angeles, CA
Education
Communications and Telecom, Electrical Engineering, Sep 2005 Mar 2007
Overall GPA: 3.59
Coursework:
Fall 2005 230A Estimation and Detection in Communication and Radar
Engineering
231A Information Theory
232A Stochastic Modeling with Applications to
Telecommunication Systems
Winter 2006 230B Digital Communication Systems
230C Algorithms and Processing Communication and Radar
214A Digital Speech Processing
Spring 2006 231E Channel Coding Theory
238 Multimedia Communications and Processing
Winter 2007 232B Telecommunications Switching and Queuing Systems
National Chiao Tung University, Hsinchu, Taiwan
Bachelor of Science, Electrical Engineering, Sep 1999 - Jun 2003
System-related background including: DSP, Communication System, DSP laboratory
courses.
GPA: 81.04/100
On the Application of Game-Theoretic Mechanism Design for Resource Allocation in
Research
Multimedia Systems
Experience
MS Thesis, UCLA Electrical Engineering, Oct 2006 Mar 2007
Advisor: Professor Mihaela van der Schaar
Study the application of game-theoretic mechanism design on CPU processing time
allocation among multimedia tasks.
Quantify the overhead due to the deployment of mechanism design.
Show that the proposed framework achieves 3dB performance gain over traditional
resource allocation algorithm.
Speech Synthesis with Klatt Synthesizer
Project
Experience EE214A, Digital Speech Processing, Winter 2006
Implement a Klatt Synthesizer in Simulink.
Correlate the mechanism of the synthesizer and the articulation to generate speeches
that closely resemble the original real-life ones.
Project score: 19/20
Tool: Matlab
1
Simulation of a Convolutional Coding System
EE231E, Channel Coding Theory, Spring 2006
Implement a 64-state rate-1/2 convolutional encoder and decoder.
Analyze the error performance of the coding system under AWGN.
Tool: VC++
Modeling of H.264 Video Decoding Complexity Using Adaptive Linear Prediction
EE238, Multimedia Communications and Processing, Spring 2006
Profile the H.264 reference decoder to analyze the decoding complexity of the decoder.
Model the decoding complexity by the normalized LMS algorithm.
Utilize the strong correlation between the decoding complexities of I-frames for the
complexity modeling.
Tool: VC++/Matlab
Languages: Matlab, C/C++, Assembly, VHDL, HTML.
Technical
Environment: Matlab/Simulink, Visual Studio, TI Code Composer Studio, Unix
Skill
Taiwan
Citizenship
Professor Mihaela van der Schaar
Reference
Engineering IV, 66-147E
Electrical Engineering Department
University of California, Los Angeles
Los Angeles, CA, 90095-1594
Email: *******@**.****.***
2
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