Kalman Filtering Application for Foggy Images

A couple of years ago I took an Estimation and Filtering class. We covered many different topics, but one of the main ones was Kalman Filtering. This is a very popular type of filtering and estimating that attempts to use past measurement(s) (noisy) and estimate the true current value(s) (with error minimized). Some assumptions are made with the type of noise that we are dealing with. Try this page or this page for some better descriptions of Kalman Filtering and the algorithm.

In this class we had to find an application and discuss it.  Here is my presentation on the paper titled:    A KALMAN FILTER BASED RESTORATION METHOD FOR IN-VEHICLE CAMERA IMAGES IN FOGGY CONDITIONS

Paper Link

Presentation Link

Neural Networks - Perceptron Character Recognition

A couple of years ago I took a really fun and challenging class called Introduction to Neural Networks.  We discussed the theory and applications of neural networks, including single- and multi-layer feedforward and recurrent networks, supervised and unsupervised learning, etc.

If you are unfamiliar with Neural Networks, they are methods that attempt to mimic the human brain (hence neural) by utilizing the basic fundamental building block of a neuron.  Neural Networks provide the ability to learn and make decisions based on various ideas related to increasing or decreasing the connections between neurons.

For a great introduction please see Jon Carrier's Neurocomputing Presentation

In this class I did a presentation on the ability of single perceptrons to perform character recognition.

Here is a link to my professors blog that describes our classes presentations: eceblogger

Here is a link to my presentation: Google Doc Link... Well I was going to post it, but I do not have it on hand just yet.  Will post once I get to it.

Audio Watermarking

While working towards my Master's thesis I took an Advanced Topics class titled Speech Processing. In this class we covered the basics of processing speech data (not specifically speech recognition, but all encompassing). Topics such as the anatomy of speech production, speech synthesis, voice estimation and specific applications through student presentations. My presentation was on Audio Watermarking.

I found a recent paper on the subject and attempted to recreate what the authors had implemented. I implemented their algorithm in Matlab. Unfortunately it did not work as well as theirs, but I was lucky enough to be chosen as the best presentation by the class.

To view my presentation go here: Google Doc Link

For images of my presentation as well as other students please visit my professors eceblogger site.

Just for fun, here is an image of the matlab gui I created for this project.