Signal Processing in Physics using Python/MATLAB – Training Services

Signal Processing in Physics using Python/MATLAB – Training Services provides comprehensive training on analyzing, filtering, and interpreting physical signals using computational tools. The course covers time- and frequency-domain techniques, including Fourier transforms, wavelet analysis, digital filtering, and spectral estimation, implemented in Python and MATLAB. Participants will learn to process signals from experiments in acoustics, optics, electromagnetism, and quantum systems. Emphasis is placed on noise reduction, feature extraction, and visualization of processed data for accurate interpretation. Case studies demonstrate applications in experimental physics, data acquisition systems, and sensor analysis. Hands-on exercises provide practical experience in coding, signal manipulation, and graphical representation of results. By the end, participants will be proficient in applying signal processing techniques to extract meaningful information from complex physical data.