Courses with significant overlap with this course:

Semester of last offering:

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Course Contents

Generalized inverses, regularization of ill posed problems. Eigen and singular value decompositions, generalized problems. Interpolation and approximation by least squares and minimal error criteria. Optimization techniques for linear and nonlinear problems. Applications in various areas of signal processing. 

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