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Fundamentals of Signal Processing

Collection type: Course

Course by: Minh Do

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Collection Properties

Summary: Presents fundamental concepts and tools in signal processing including: linear and shift-invariant systems, vector spaces and signal expansions, Fourier transforms, sampling, spectral and time-frequency analyses, digital filtering, z-transform, random signals and processes, Wiener and adaptive filters.

This collection contains: Modules by: Anders Gjendemsjø, Benjamin Fite, Clayton Scott, Don Johnson, Douglas L. Jones, Hyeokho Choi, Ivan Selesnick, Justin Romberg, Melissa Selik, Michael Haag, Minh Do, Ricardo Radaelli-Sanchez, Richard Baraniuk, Robert Nowak

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