Estimation of Parameters for Gaussian Random Variables using Robust Differential Geometric Techniques
Most signal processing systems today need to estimate parameters of the underlying probability distribution, however quantifying the robustness of this system has always been difficult. This thesis attempts to quantify the performance and robustness of the Maximum Likelihood Estimator (MLE), and a r...
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| Format: | Others |
| Language: | en_US |
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2010
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| Online Access: | http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-375 http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-375 |