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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
EESC 6350 (Overall) | |||||
EESC 6350 Aria Nosratinia | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
EESC 6350 (Overall) | |||||
EESC 6350 Aria Nosratinia | |||||
Signal Theory
EESC 6350
Erik Jonsson School of Engineering and Computer Science
Signal processing applications and signal spaces, vector spaces, matrix inverses and orthogonal projections, four fundamental subspaces, least squares and minimum norm solutions, the SVD and principal component analysis, subspace approximation, infinite dimensional spaces, linear operators, norms, inner products and Hilbert spaces, projection theorems, spectral properties of Hermitian operators, Hilbert spaces of random variables, linear minimum variance estimation and the Levinson-Durbin algorithm, general optimization over Hilbert spaces, methods and applications of optimization. 3 credit hours.
Prerequisite: EE 3302 or equivalent.
Offering Frequency: Based on student interest and instructor availability
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Signal Theory
EESC 6350
Erik Jonsson School of Engineering and Computer Science
Signal processing applications and signal spaces, vector spaces, matrix inverses and orthogonal projections, four fundamental subspaces, least squares and minimum norm solutions, the SVD and principal component analysis, subspace approximation, infinite dimensional spaces, linear operators, norms, inner products and Hilbert spaces, projection theorems, spectral properties of Hermitian operators, Hilbert spaces of random variables, linear minimum variance estimation and the Levinson-Durbin algorithm, general optimization over Hilbert spaces, methods and applications of optimization. 3 credit hours.
Prerequisite: EE 3302 or equivalent.
Offering Frequency: Based on student interest and instructor availability
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.