MATH 416
Applied Harmonic Analysis: An Introduction to Signal Processing
Introduces students to the mathematical concepts arising in signal analysis from the applied harmonic analysis point of view. Topics include applied linear algebra, Fourier series, discrete Fourier transform, Fourier transform, Shannon Sampling Theorem, wavelet bases, multiresolution analysis, and discrete wavelet transform.
Topics
- applied linear algebra
- Fourier series
- discrete Fourier transform
- Fourier transform
- Shannon Sampling Theorem
- wavelet bases
- multiresolution analysis
- and discrete wavelet transform
Topics explicitly listed in official catalogue description
Prerequisites & course information
Prerequisite: Minimum grade of C- in MATH141 ; and 1 course with a minimum grade of C- from ( MATH240 , MATH461 , MATH341 ); and familiarity with MATLAB is required.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Applied Harmonic Analysis: An Introduction to Signal Processing · 3 Credits