Signal Sampling

This lecture covers the process of representing analog signals in a digital form through sampling and quantization. It explains the importance of sampling at discrete instants and quantifying signal values. The lecture also discusses sampling period and frequency, emphasizing the relationship between sampling frequency and signal frequency. Examples of sampling sinewaves are provided, highlighting the conditions for accurate signal reconstruction. The consequences of undersampling, known as the stroboscopic effect, are explored through visual illustrations.