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*[[Student_summary_Filtering|A summary of filtering]] | *[[Student_summary_Filtering|A summary of filtering]] | ||
*[[HW8_-_Zachary_Curosh:_Impulse-train_Sampling_ECE301Fall2008mboutin|A summary of impulse-train sampling]] | *[[HW8_-_Zachary_Curosh:_Impulse-train_Sampling_ECE301Fall2008mboutin|A summary of impulse-train sampling]] | ||
| + | *[[Student_summary_spectral_analysis_2D_signalsb|Spectral analysis of 2D signals]] | ||
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=Honors Projects ([[Honors_projects_how_to_and_why|how to and why]])= | =Honors Projects ([[Honors_projects_how_to_and_why|how to and why]])= | ||
Revision as of 06:57, 16 September 2013
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Top Student Projects
- Coding for Android on Windows
- A summary of filtering
- A summary of impulse-train sampling
- Spectral analysis of 2D signals
Honors Projects (how to and why)
- MA265 Honors Project by Daniel Lee
- ECE302 Honors Project by Tosin
- Introduction To Pattern Recognition and Classification
- Bayesian Decision Theory
- Bayesian Decision Theory-Continuous and Discrete Features
- Illustration of The Bayesian Decision Theory
- Discriminant Functions For The Normal(Gaussian) Density - Part 1
- Discriminant Functions For The Normal(Gaussian) Density - Part 2
