DSC 120. Signal Processing for Data Analysis (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/DSC.html#dsc120
Description
This course will focus on ideas from classical and modern signal processing, with the main themes of sampling continuous data and building informative representations using orthonormal bases, frames, and data dependent operators. Topics include sampling theory, Fourier analysis, lossy transformations and compression, time and spatial filters, and random Fourier features and connections to kernel methods. Sources of data include time series and streaming signals and various imaging modalities. Prerequisites: MATH 18 or MATH 31AH and MATH 20C and DSC 40B. Restricted to students with upper-division standing. Restricted to students within the DS25 major. All other students will be allowed as space permits.
Prerequisite courses
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Successor courses
DSC 120 is a prerequisite of the following 1 courses: