Jing Lin

 

Email: jing.lin08@gmail.com

 

I'm a fourth-year graduate student in the Department of Electrical and Computer Engineering at the University of Texas at Austin. I received my MSEE degree from UT Austin in May 2010.

I'm currently a member of the Embedded Signal Processing Laboratory (ESPL), which is part of Wireless Networking and Communications Group (WNCG). My advisor is Prof. Brian L. Evans.

I received my Bachelor's degree in 2008 from the Department of Electronic Engineering at Tsinghua University, Beijing, China.

Resume Downloads

.docx, .doc and .pdf

Communication and signal processing theory:
Digital Signal Processing, Digital Communications, Estimation theory, Analysis and Design of Communication Networks, Advanced Wireless Communications, Multi-rate and Multi-scale Signal Processing

Mathematics:
Probabilities and Stochastic Processes, Linear Programming, Stochastic Optimization, Mathematical Statistics, Numerical Analysis: Linear Algebra

Implementation:
Embedded System Design and Modeling, VLSI Communication Systems, Wireless Communications Lab

Graduate Courses

- Statistical signal processing and machine learning in noise and interference modeling and mitigation in wireless and powerline communications.

- Multiprocessor mapping (i.e. task-to-processor partitioning and scheduling) of dataflow modeled real-time systems.

Research Interests

Powerline Communications for Enabling Smart Grid Applications

Within a smart grid, we focus on the “last mile” of power delivery from a concentrator to its local area subscribers along medium-voltage (MV) and low-voltage (LV) lines. The applications include automatic meter reading, device-specific billing and smart energy management. The aim is to provide high data rate (~100kbps), narrowband (3kHz to 500kHz in the US) communications over MV/LV power lines.  Please see here for more details about this project.

The current efforts in this research include:

- Asynchronous impulsive noise modeling and mitigation;

- Periodic impulsive noise modeling and mitigation;

- Implementation of a real-time PLC testbed for powerline channel/noise measurement and quantitative study of transceiver algorithms in terms of communication performance and complexity tradeoffs.

Ongoing Projects

MIMO Discrete Multi-tone (DMT) Testbed

A prototype design of a 2x2 MIMO DMT wireline baseband communication system. The goal is to double the transmission data rate of the traditional SISO system, and investigate the tradeoff between performance vs. complexity.

Past Projects

About Me

M. Nassar, J. Lin, Y. Mortazavi, A. Dabak and B. L. Evans, ``Channel Impairments and Noise in Local Utility Powerline Communications'', IEEE Signal Processing Magazine, resubmitted Sep. 6, 2011.

J. Lin, M. Nassar and B. L. Evans, ``Non-Parametric Impulsive Noise Mitigation in OFDM Systems Using Sparse Bayesian Learning'', Proc. IEEE Int. Global Communications Conf., Dec. 5-9, 2011, Houston, TX USA.

J. Lin, A. Srivatsa, A. Gerstlauer and B. L. Evans, ``Heterogeneous Multiprocessor Mapping for Real-time Streaming Systems'', Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Proc., May 22-27, 2011, Prague, Czech Republic.

Publications