IPDSL Research Activities
Several Research topics in Information Processing and Decison/Control Sytem Design are being investigated by IPDSL researchers. Some of the active research projects are :
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Neural Network based Target Tracking in Clutter & Noise
- Principal Goals in this project are to design neural network-based architectures for tracking targets executing complex evasive maneouvers in clutter and noise environments and to develop simple target tracking algorithms using radar and image data.
- Project Description
- IPDSL publications in Target Tracking
Restoration and Superresolution of SAR and PMMW Imagery Data
- Major goals in this project are to design statistical signal processing and set-theoretic methods for the restoration and superresolution of diffraction limited imagery data. Specific Algorithms for iterative image restoration are developed and quality metrics for assessment of restoration and image bandwidth extrapolation performance of algorithms are developed as part of this project. Application to Synthetic Aperture Radar (SAR) imagery and to Passive Millimeter Wave (PMMW) images is of specific concern.
- Project Description
- Slides presentation
- IPDSL publications in Image Super-resolution
Sensor Fusion for Target Surveillance and Tracking
- Primary goal in this project is to design fusion architectures for combining multisensor measurements to support intelligent integrated processing of incoming data streams in order to obtain reliable target surveillance and tracking.
- Project Description
- IPDSL publications in Sensor Fusion
Control and Management of Computer Communication Networks
- Various topics in network control and management, such as dynamic routing, flow control, call admission control, resource allocation and managenment, mobility management for wireless access are being investigated. Special emphasis is placed on security management and protocols for ensuring information assurance and network security are developed.
- Project Description
- IPDSL publications in Computer Networks
Intelligent Control and Guidance Schemes
Neural Network Theory and Applications
- Study of various neural network architectures (feedforward, radial basis functions, recurrent) and training schemes (gradient-based, reinforcement learning, simplex organization) is conducted. Applications to identification and control of nonlinear systems and to signal processing (speech, radar, and images) are investigated.
- Project Description
- IPDSL publications in Neural Network
Last updated: May 25, 2000