Stochastic / Environmental Signal Processing
Course Description: Special topics course covering the aspect of deterministic and stochastic signal processing relevant to environmental observation, including remote and in situ sensing for Earth observation, environmental prediction, natural resource management, renewable energy, solar, space and planetary science, astronomy, and related applications of sensing and imaging. The course focuses on acquisition, interpretation, and application of sensor and ancillary data in statistical estimation and detection algorithms, including linear, nonlinear, iterative, neural net, and Kalman filter based techniques. Offered both in-class and on video through CU CAETE.