Project description

The main objective of the final project is threefold. In particular, the project is designed to: 1) allow the student to practice various theoretical and practical tools covered in the class, 2) encourage the students to extend their knowledge of the subject through additional reading and self-study, and 3) provide the students with an opportunity to address a real-life problem. The project can be done by groups of 1-3 students, with each group assigned an individual project in one of the following areas:

  • Time-frequency analysis
  • Classification and pattern recognition
  • Spectral analysis and parameter estimation
  • Change point and anomaly detection
  • Data synthesis

The students may specify the type of data they would prefer to work on (e.g., time sequences, imaging data, etc), as well as the field of their scientific interest (e.g., biomedical signal processing, image restoration, remote sensing, visual tracking, etc). The students will also be allowed to choose between the following two options:

  • Publication-based project: The project group will be required to reproduce an existing method/solution from a relevant research publication.
  • Problem-based project: The project group will be required to work out their {\it own} solution to a (standard) problem specified by the course instructor.
A detailed description of the project and its submission format is available here.

Project requirements

The students will be expected to group into teams and indicate to the course instructor their preferred project area, scientific suject area, preferred data type, and the project format. The submission should include a zip archive file containing:

  1. A main MATLAB function (main.m) along with any other functions necessary for the algorithm implementation.
  2. A subdirectory html (as generated by MATLAB) containing main.html along with its associated graphical support files.
  3. A clear definition of the project topic and the names of team members in the beginning of the html file.