Second Mini-Project, ECE662 Spring 2016

Due in class Monday March 21. Earlier submissions are welcome!

Note about late submissions: Late submissions will be accepted until 5pm Thursday March 24 in MSEE330. This is a hard deadline. NO EXCEPTION! Please try not to be late and hand in by the March 21 deadline.


We have learned how to use Maximum Likelihood Density/Probability Estimation and the Parzen Window method of density estimation to classify data. Experiment with both methods to compare them. When do they work well? When do they not work well? When is one method more advantageous than the other?

Write a report to explain your experiments and summarize your findings. Make sure to include a cover page, introduction, numerical results (e.g., tables, graphs,…), and a conclusion. Attach a copy of your code.

Hand in two hard copies of your report. The first one should start with a standard cover page. For the second one, remove your name from the cover page. Place the anonymous submission below the submission with a name and hand in both together.

  • DO NOT PLAGIARIZE!!!!! You will get in serious trouble if you do so. Don't use figures from the internet, don't copy and paste other people's text, cite all your sources, etc. In doubt, ask your instructor.

Back to ECE 662 Spring 2016

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Basic linear algebra uncovers and clarifies very important geometry and algebra.

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