# ECE 513 Exams and Grading

## Exams

**Midterm 1: March 7**, in class.- Coverage: Ch. 1 - Ch.3 of the course notes
- Prev Exam: Midterm 1, 2016

**Midterm 2: April 18**, in class.- Coverage: through the end of Ch. 7
- Materials allowed: 3 handwritten pages, two sided. No calculators or cell phones.
- Prev Exam: Midterm 2, 2013

## Grading Scheme

- Homework: 10%
- Exam 1: 30%
- Exam 2: 30%
- Final Project: 30%

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.