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**[[Discriminant Functions For The Normal(Gaussian) Density|Discriminant Functions For The Normal(Gaussian) Density - Part 1]] | **[[Discriminant Functions For The Normal(Gaussian) Density|Discriminant Functions For The Normal(Gaussian) Density - Part 1]] | ||
**[[Discriminant Functions For The Normal(Gaussian) Density - Part 2]] | **[[Discriminant Functions For The Normal(Gaussian) Density - Part 2]] | ||
+ | *[[HonorsContractECE438Fall14| ECE438 Honors Project by Sahil Sanghani]] | ||
+ | **[[ECE438HonorsContractCT|Computed Tomography (CT)]] | ||
+ | **[[HonorsContractECE438CoordinateAndRadon|Coordinate Rotation and the Radon Transform]] | ||
+ | **[[ECE438HonorsContractFST|Fourier Slice Theorem (FST)]] | ||
+ | ** [[HonorsContractECE438CBP|Convolution Back Projection (CBP)]] | ||
+ | **[[ECE438HonorsContractMRI|Magnetic Resonance Imaging]] | ||
+ | |||
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[https://www.projectrhea.org/learning/index.php Back to Project Rhea Home] | [https://www.projectrhea.org/learning/index.php Back to Project Rhea Home] |
Revision as of 18:32, 9 February 2015
"Student Projects"
Some students do it as part of a class, some students do it for bonus points, some students do it as part of an honors contract, some students do it just for fun... Anyway, here are a few samples of the great stuff that Purdue students recently shared on Project Rhea.
Top Rated
- The plurality vote: must it lead to a 2-party system?
- Presidents and others that have been elected against majority
- The 2000 election and what it should teach us
- Object Tracking using MATLAB
- Coding for Android on Windows
- A summary of filtering
- A summary of impulse-train sampling
- Spectral analysis of 2D signals
- Audio Signal Filtering
- Animated Aliasing Example
- How to play "Hail Purdue" with MATLAB (code included)
- Explaining a clay problem
- Determinant Transpose proof
- More here and here.
Honors Projects
- 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
- ECE438 Honors Project by Sahil Sanghani