# Signal/Image Processing

Compressed video transmission as used in HDTV and on the Internet requires sophisticated signal and image processing for the storage and transmission of images and video. Research in this area focuses on digital signal and image processing, with an emphasis on image and video compression, joint source channel coding, multimedia applications, and neural networks.

## Faculty

## Related Courses

- General Courses
- EE 415 Digital Signal Processing
- EE 463 Machine Vision and Image Processing
- EE 615 Advanced Digital Signal Processing
- EE 640 Applied Random Processes
- EE 645 Neural Nets and Learning Theory
- EE 647 Source Coding
- Communications
- EE 441 Statistical Communications
- EE 442 Digital Communications
- EE 446 Information Theory and Coding
- EE 449 Computer Communication Networks
- EE 642 Detection and Estimation Theory
- EE 643 Communication System Performance
- EE 646 Advanced Information Theory
- EE 648 Error-Control Coding I
- EE 649 Error-Control Coding II
- EE 668 Telecommunication Networks

- Controls
- EE 452 Digital Control Systems
- EE 453 Modern Control Theory
- EE 650 Linear Systems Theory
- EE 651 Nonlinear Control Systems
- EE 652 Optimal Control Systems

- Computers
- EE 628 Analysis & Design of Integrated Circuits
- EE 644 Computer Communication Networks
- EE 660 Computer Architecture I
- EE 661 Computer Architecture II
- EE 602 Algorithm I
- EE 603 Algorithm II

## Projects

**Joint Source Channel Image Coding for a Power Constrained Noisy Channel :**For a given power constrained Gaussian communication channel, we consider the optimum theoretical allocation of energy per bit for a BPSK transmitter when the performance is measured by end-to-end average quantizer distortion. Choosing the average energy per transmitted bit in conjunction with both the source rate and the channel code rate provides one additional degree of freedom with respect to previously proposed schemes for discrete channels, and therefore achieves higher overall PSNR values for images.

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**Robust Error Control in Joint Source Channel Coding for Internet Video :**We investigate robust error control schemes for reducing spatio-temporal error propagation in Internet video transmission due to packet loss.

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