Sampling Signals - Introduction Lecture

This course introduces the fundamental elements of Sampling and Reconstruction from a signals perspective, covering topics such as the Nyquist sampling rate and the effect of aliasing. The course aims to teach students about the concepts of Sampling Theorem, Ideal Lowpass Filter, First Order Hold, and Aliasing. The teaching method includes lectures and graphical representations. This course is intended for individuals interested in signals, systems, and digital communications, particularly those looking to understand sampling and reconstruction in the context of signal processing.