1. Education and Research in the Center for Signal and Image Processing

2. CSIP Summary
Our Ph.D. graduates have impact worldwide in DSP education and research
Distinguished faculty
17 faculty (7 IEEE Fellows)
Co-authors of over 25 books on DSP
Over 80 current Ph.D. students
Located on third floor of GCATT building th St., NW
Support from Georgia Research Alliance has provided outstanding well equipped labs.
Center for Signal and Image Processing

3. Beowulf Cluster 26 dual processors 1 Gbyte memories
Center for Signal and Image Processing

4. CSIP Faculty Yucel Altunbasak David V. Anderson Thomas P. Barnwell
Mark A. Clements
Faramarz Fekri
Monson H. Hayes
Joel R. Jackson
Fred Juang
Aaron Lanterman
Chin Lee
Vijay K. Madisetti
Francois Malassenet
James H. McClellan
Russell M. Mersereau
Ronald W. Schafer
Douglas B. Williams
G. Tong Zhou
Center for Signal and Image Processing

5. Past and Present Funding
Industry: Texas Instruments, Intel, BAE Systems, Hewlett-Packard, Mathworks, National Semiconductor, Analog Devices, Lucent, Harris, Hughes, Prentice-Hall
Federal: NSF, U.S. Army, DARPA, ONR, NASA,MPO
State: Georgia Research Alliance
Private Foundation: John and Mary Franklin Foundation
Total Funding: Current funding from government and industry totals about $6.5M
Center for Signal and Image Processing

6. Industrial Partnership Examples
Texas Instruments Leadership Univ. Program
Members with MIT and Rice U.
Seven projects - 7 faculty and 7 Ph.D. students
Wireless video, CFA interpolation, speech coding, speech recognition, chaotic systems, face recognition, MIMO communication systems
Hewlett Packard Laboratories
Four faculty and six students
Focus on PDAs: low-power analog front-ends, structured audio, applications in education. Also, 3D video for video conferencing,
HP Labs researcher in residence
Center for Signal and Image Processing

7. Linearization of RF Power Amplifiers G. Tong Zhou, J. Stevenson Kenney
Power amplifiers (PAs) are inherently nonlinear.
Desire: high efficiency PAs, leading to low cost.
Downside of high efficiency: high nonlinearity.
Nonlinearity causes: (1) high bit error rate; (2) adjacent channel interference: must satisfy FCC.
DSP-based predistortion linearization.
Challenging issue: memory nonlinear effects in high power amplifiers (e.g., base station PAs).
Indirect Learning Architecture adapts to changing characteristics
RF TESTBED
Center for Signal and Image Processing

8. Indirect Learning Architecture
Advantage: No need to model or identify the PA.
Center for Signal and Image Processing

9. 8-Tone Test Result 8-tone, 1.2MHz signal, Siemens CGY0819 dual-band PA
Purple: w/o PD;
green: w/ memoryless PD (K=7);
cyan: w/ memory polynomial PD (K=7, Q=10)
35 dB of spectral regrowth suppression w/ memory polynomial PD
Center for Signal and Image Processing

10. Video Resolution Enhancement Y. Altunbasak and R. Mersereau
Future broadcasting will be all digital.
High definition displays will dominate the market.
However, most programming is expected to be in SDTV format.
There is a clear need and technical opportunity to design systems to enhance the quality of the SDTV signal so that it matches the quality and capabilities of high definition displays.
Center for Signal and Image Processing

11. Applications - Digital Cameras
Subsequent
multiple pictures
(JPEG format)
Reconstructed
high-resolution
picture
Also applicable to high-quality printing from video sources such as DVD players, set-top boxes, TV sets, software MPEG players and camcorders. Requires a resolution enhancing print driver.
Center for Signal and Image Processing

12. Face Recognition Monson H. Hayes
Major problem
is lighting and
pose variations.
Center for Signal and Image Processing

13. Results and Next Step
We have developed a new face recognition system based on a segmented linear subspace model
Robust to varying illuminations and tolerant to different poses,
Has recognition accuracy equaling or exceeding (>99%) other state-of-the-art systems, and
Has a fraction of the complexity.
Next Step: Face Recognition from Video
Face detection (patent awarded).
Pose detection (find best frontal view).
Face recognition (robust to varying illuminations, poses, facial expressions).
The Intriguing Question
How can we incorporate the multitude of images that are extracted from video to enhance the recognition system?
Center for Signal and Image Processing

14. Finite Field Wavelet Transforms
F. Fekri and D. Williams
Goal: Establishment of a new research field that brings together researchers from signal processing, error control coding, data security and multicarrier signaling systems.
Error Control
Coding
Finite Field Wavelets
And I would like to conclude my talk by this slides that summarize my research plan:
in which the finite field wavelet plays a central role to do coding, data security and muliuser access and combine them under unifying theory. Thus I intend to propose a program that will systematically explore these application areas
and I will encourage and welcome collaboration with other faculty members.
OFDM
Modulation
Security
coding
Center for Signal and Image Processing

15. New Research Directions in Data SecurityLL LH HL HH
row-wise
column-wise
New Research Directions in Error Control Coding
Center for Signal and Image Processing

16. Passive Radar Systems Aaron Lanterman Target Tracking Positions
Exploit “illuminators of opportunity” such as commercial TV and FM radio broadcasts for covert operation
Target Tracking
Positions
Velocities
Radar
Cross
Section
Radar Imaging
Passive Radar System
Target
Classification
Target Library
Signature
Prediction via
Computational EM

17. Imaging With 100.0 on Your FM Dial
Target
Shape
Formatted
Raw Data
Image
Formed
Via
Processing
F-22
Falcon-100
VFY-218

18. Detection of Obscured Targets Jim McClellan & Waymond Scott
Landmines
No single sensor has proven capable of reliable detection across many types of “targets”
Can multiple sensors be used cooperatively to produce a system with robust performance?
A three sensor experiment
Electromagnetic Induction (EMI) Sensor
Ground Penetrating Radar (GPR) Sensor
Seismic Sensor
Multimodal processing
Imaging & Inversion
Cooperative Fusion of multiple sensors
Center for Signal and Image Processing

19. EMI Sensor and GPR Tx Rx EMI Sensor: 0.6 - 60 kHz GPR: 500 MHz – 8 GHz
Physical Properties of Target
Permittivity Contrast
Low Conductivity
(Dielectric)
High Conductivity
(Metal)
Mechanical Contrast
EMI No
Weak
Yes
GPR
Yes*
Seismic
EMI Sensor: kHz
GPR: 500 MHz – 8 GHz Tx Rx
4.5”
Center for Signal and Image Processing

20. Seismic Sensor: Surface Waves
Man-made items
often resonate
Center for Signal and Image Processing

21. Comparison of EMI, GPR and Seismic Responses: VS-1.6, 6.5 cm deepx
depth y t
Center for Signal and Image Processing

22. Comparison of EMI, GPR & Seismic Responses Uncrushed Aluminum Can, 2 cm deepx
depth y t
Center for Signal and Image Processing

23. Cooperative Analog/Digital Signal Processing
D. Anderson and P. Hasler
Target: Complex signal processing functionality with extremely low power
Approach: Perform substantial amounts of the processing in programmable analog VLSI
Real
world
(analog)
DSP
Processor
A/D
Convertor
Computer
(digital)
Specialized A/D
Real
world
(analog)
ASP IC
Computer
(digital)
DSP
Processor
A/D
Center for Signal and Image Processing

24. Cooperative Analog/Digital Signal Processing
Advantages of CADSP:
Better problem “fit”
Orders of magnitude improvement in power consumption / efficiency
Simpler A/D converter requirements,
Smaller size.
Current Applications Include:
Audio noise suppression
Audio source localization / beam-steering
Focal plane image / video processing
Speech Recognition
Field Programmable Analog Processor Arrays
Center for Signal and Image Processing

25. Digital Media Asset Management Mark Clements
Sam Nunn Archives: Cooperative Effort between CSIP, IMTC, GT and Emory Libraries.
Fast searching of audio based on phonetic content. Typical speed of search: 72,000x real time (20 hours of content searched in 1 elapsed second).
Basis for startup company Fast-Talk which has received over $10M venture funding.
New results demonstrate rapid searching of music by lyrics and melodies using same approach.
The speech part can be the basis for voic management, data-mining, call center monitoring and alerting, market research, distance learning tool.
The music part can be for indexing content by melody, detection copyright infringement, accessing music by “humming a tune.”
Center for Signal and Image Processing

26. Current Research Areas - I
Robust automatic speech recognition
New architectures for speech recognition
High-quality low-bit-rate speech coding for voice over IP networks
Noise and reverberation removal
Music analysis and synthesis
Compressed-domain processing of audio
Multi-scale sinusoidal modeling
Microphone array processing
Blind separation of speech signals
Chaos in wireless communication systems
Space-time coding and OFDM
Compensation for selective fading effects
Center for Signal and Image Processing

27. Current Research Areas - II
Target tracking in video
Automated measurement and modeling of behavior in biological systems
“Intelligent Environments”
Automatic storage/retrieval of speech and audio
Audio-visual speech recognition
Speech-driven facial animation
Video streaming with error concealment and MDC
Graphics streaming for the Internet
Buried mine detection using GPR, seismic & EMI
Target Tracking in sensor networks
Hyperspectral imaging and target classification
SAR imaging
Center for Signal and Image Processing

28. Current Research Areas - III
Automated analysis of video
Video indexing for a smart VCR
Image interpolation for digital color cameras
Super-resolution of video
Image-based graphical rendering
Segmentation of cardiac MRI images
DSP for hand-held communication devices
Finite field wavelet transforms and applications to error control coding and cryptography
Application of multimedia processing in education
Compensation of nonlinear power amps.
Face Recognition
Video compression
Center for Signal and Image Processing

29. Summary
The premier academic program in the country in the signal processing field is in the Georgia Tech School of Electrical and Computer Engineering.
We have many outstanding graduate students.
Internships
Long-term contributors
We have lots of outstanding technology waiting to be developed.
We have a demonstrated capability to work with industry.
Contact me if you want to come for a visit.
Center for Signal and Image Processing