MATH 4346 - Fourier Analysis

Credit hours: 3

Description: Formerly MATH 4100. Application oriented introduction to Fourier analysis, including Fourier series, Fourier transforms, discrete Fourier transforms, wavelets, orthogonal polynomials, and the Fast Fourier Transform (FFT) algorithm. The theoretical portions of this course will emphasize interconnections and operator algebraic formalism. Applications will be chosen from among differential equations, signal processing, probability, and high precision arithmetic.

Prerequisite(s): MATH 2414 (formerly MATH 2425 and MATH 1720) and MATH 3315 (formerly MATH 3330). Prior or concurrent enrollment in MATH 2415 (formerly MATH 2426 and MATH 2730) and MATH 3331 (formerly MATH 3410) recommended.

Course typically offered: On demand