Multiresolution Signal and System Analysis and the Analysis and Control of Discrete Event Dynamic Systems.
Final rept. 1 Sep 92-31 Jan 96,
MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR INFORMATION AND DECISION SYSTEMS
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In this report we summarize the following research accomplishments a combining our research on inverse problems with our work on the development of multiresolution stochastic models in order to develop novel and very efficient methods for the fusion and inversion of heterogeneous and multiresolution sensor data b developing a significant extension of the use of our scale recursive multiresolution models for the modeling of spatial phenomena based both on a novel application of the concept of canonical correlations in statistics and on relaxing the relationship between variables in our multiresolution representations and the spatial variables they represent c developing multiresolution models for SAR imagery and the use of these models as thesis for new and very effective likelihood feature for the discrimination of man made objects and natural clutter and d developing a new method for signal approximation and feature extraction known as high resolution pursuit that produces stable and physically meaningful features and the application of this method to high range resolution radar data.
- Active and Passive Radar Detection and Equipment