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Mathematics of Signal Processing
MATH 6305
School of Natural Sciences and Mathematics
The course is devoted to a mathematical foundation of some of the key topics in signal processing: discrete and continuous signal transforms, least squares methods and adaptive filtering, compressed sensing and related topics. 3 credit hours.
Prerequisites: Linear algebra and calculus through multivariate calculus or instructor consent required.
Offering Frequency: Every two years
Click a checkbox to add something to compare.
Mathematics of Signal Processing
MATH 6305
School of Natural Sciences and Mathematics
The course is devoted to a mathematical foundation of some of the key topics in signal processing: discrete and continuous signal transforms, least squares methods and adaptive filtering, compressed sensing and related topics. 3 credit hours.
Prerequisites: Linear algebra and calculus through multivariate calculus or instructor consent required.
Offering Frequency: Every two years
Click a checkbox to add something to compare.