Mathematical Methods in Signal Processing

Catalog description

Credits 3. 3 Lecture Hours. Representations and algorithms for signal processing; linear algebra, vector spaces, normed and inner product spaces; projection, orthogonalization, rank-nullity theorem; matrix representations, singular value decomposition; sampling, Fourier analysis, spectral methods; statistical signal processing and linear estimation.