# ECE 513 Final Project

## Final Project Recommendations

**A Random Alphabetic Order Permutation (from www.wolframalpha.com) was applied to determine order. **

**You may switch with another person by mutual agreement, but must notify the course instructor.**

- Presentations will be 15 minutes each + 3 minutes for questions
- A PDF or PowerPoint version of your presentation will be due (by emailing a Box link) on
**5/10/2018 at 10pm** __All students must attend all presentation sessions.__- Your project report will be due
**5/9/2018 at 5pm** **Report Contents: read the project istructions at the link above.****Report Format:**typeset text and equations (LaTeX or MSWORD), capions on figures, legible legends and axis markings (if used) on all figures. One column or two column format. Font size at least 10 point. Margin 1" (2.5cm) on all sides. IEEE format for references. Length: up to 15 pages; figures may be extra.- To submit your report, email to the instructor and TAs a PDF version of your report + a link to a Box directory that contains copies (in PDF) of the papers that you used as references
- Location: Rm 4070 ECEB
- Time: TBD

No other question has ever moved so profoundly the spirit; no other idea has so fruitfully stimulated the intellect; yet no other concept stands in greater need of clarification than that of the infinite. David Hilbert

ECE 513 (Vector Space Signal Processing) covers mathematical tools in a vector space framework, including: finite and infinite dimensional vector spaces, Hilbert spaces, orthogonal projections, subspace techniques, least-squares methods, matrix decomposition, conditioning and regularizations, bases and frames, the Hilbert space of random variables, random processes, iterative methods; applications in signal processing, including inverse problems, filter design, sampling, interpolation, sensor array processing, signal and spectral estimation, sparse approximation and compressed sensing. Course Information: Prerequisite: ECE 310, ECE 313, and Math 415.