Fourier Transform Techniques in Physics using Python/MATLAB – Training Services

Fourier Transform Techniques in Physics using Python/MATLAB – Training Services focuses on the use of Fourier methods to analyze and solve problems in physics. The training covers core concepts of Fourier series, continuous and discrete Fourier transforms, and Fast Fourier Transform (FFT) algorithms, with hands-on coding in Python and MATLAB. Participants will apply these techniques to study wave phenomena, signal processing, quantum mechanics, and optics. The course emphasizes frequency-domain analysis, filtering, convolution, and spectral decomposition of physical signals. Visualization of time-domain and frequency-domain representations is integrated to build strong conceptual understanding. By the end, participants will gain the ability to apply Fourier methods for solving practical and theoretical physics problems computationally.