Research
The Telecommunications and Signal Processing Group (TSP) is a cooperative
program for students and faculty interested in the theoretical development
and applications of statistical communication, estimation and information
theories and signal processing.
Communications research focuses on the process whereby information
is conveyed from a source to a destination via a variety of media,
including copper wires, coaxial cables, optical fibers, as well
as a variety of wireless techniques including radio frequencies,
microwaves and satellites. Techniques such as modulation/demodulation,
error control coding/decoding, source compression and encryption/decryption
all fall under this general area.
Digital Signal Processing (DSP) consists of techniques and algorithms
for the manipulation of digital signals. Recently there has been
a considerable increase in DSP applications mainly due to the availability
of cost-effective and computationally efficient DSP microprocessors.
Today, DSP constitutes a multi-billion dollar market spanning many
areas including telecommunications, multi-media, video/graphics
processing and speech/sound processing.
Research in the TSP area is coordinated through several different
laboratories. These labs are funded by several government agencies
as well as many prominent industrial research partners. A brief
description of the labs in the TSP area is given in the following:
The Wireless Communication Laboratory (WCL) was created in 1996
under National Science Foundation (NSF) funding and matching funds
from the College of Engineering and the Department of Electrical
Engineering at Texas A&M University. The purpose of the WCL is to
pursue research in communications with emphasis on wireless systems,
from the algorithm design to implementation. Research on wireless sensor network security and multimedia security is also pursued in the Laboratory.The WCL currently consists
of ten faculty members and approximately 50 graduate students working
on cutting edge research in various areas of wireless communications,
including such topics as space-time coding and signal detection,
code-division multiple-access, advanced coding techniques, equalization
and channel estimation, image and video compression and processing
and wireless networks.
The Wavelet Innovation Laboratory (WIL) is researching various novel
applications of wavelet techniques in such areas as medical diagnosis,
industrious detection, image segmentation and remote image processing.
Multimedia Communications and Networking Laboratory
Research at the Multimedia Lab focuses on scalable compression and
transmission of Internet and wireless multimedia. For scalable multimedia
data compression, techniques being considered include efficient
arithmetic coding of bit planes of transform coefficients and novel
schemes of exploring the motion information for 3-D wavelet video
coding. For scalable transmission of multimedia, optimal packetization
and joint congestion and error control are being addressed.
|
