ECE 251A. Digital Signal Processing I (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/ECE.html#ece251a
Description
Discrete random signals; conventional (FFT based) spectral estimation. Coherence and transfer function estimation; model-based spectral estimation; linear prediction and AR modeling. Levinson-Durbin algorithm and lattice filters, minimum variance spectrum estimation. Cross-listed with SIOC 207B. SIOC 207A is intended for graduate students who have not had an undergraduate course in DSP. Recommended preparation: ECE 153, Probability, or ECE 250, Random Processes; ECE 161A, DSP; ECE 251C, Filter Banks and Wavelets; ECE 269, Linear Algebra and Application, or equivalent and SIOC 207A, Fundamentals of DSP, or equivalent. Prerequisites: graduate standing.
Prerequisite courses
ECE 251A has no prerequisite courses.
Successor courses
ECE 251A is a prerequisite of the following 4 courses: