DSP Fundamentals using Python Prototyping
(3 Days)

Course Description

This course provides a rigorous, unified foundation in Digital Signal Processing (DSP) theory while simultaneously building a professional Python-based prototyping and analysis workflow. It delivers a tightly sequenced progression from first principles to production-ready Python tooling. Beginning with the mathematics of discrete-time signals, the course progresses through frequency-domain analysis, filter design, multirate systems, and adaptive filtering. Every theoretical concept is immediately expressed and validated in Python using NumPy, SciPy, and Matplotlib, giving participants a practical toolkit they can apply the day they return from training

Course Duration: 3 Days