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MATH416

Applied Harmonic Analysis: An Introduction to Signal Processing

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. 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.

Fall 2021

28 reviews
Average rating: 3.89

Spring 2021

11 reviews
Average rating: 5.00

Past Semesters

1 review
Average rating: 5.00

25 reviews
Average rating: 3.84

40 reviews
Average rating: 3.55

26 reviews
Average rating: 2.96

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Average GPA: 2.12 between 292 students

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