STEM / applied
Fourier analysis & transforms · Undergraduate · Math
Topics
Signal and image processing
- Filtering: low-pass, high-pass, and band-pass filters
- Modulation, demodulation, and AM/FM (mathematical view)
- Sampling theorem and aliasing
- Implementation of FFT in MATLAB/Python
- Applications in acoustics, optics, and communications
Engineering applications
- Vibrations and modal analysis via Fourier methods
- Transfer functions and frequency response
- Correlation and power spectral density
- Solving PDEs with boundary conditions using transform methods
- Numerical approximation of continuous transforms
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$1,162 · Fourier analysis & transforms · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle or Venmo.