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This lecture covers the concept of signal sampling, which is essential for processing information contained in a signal. It explains the need to sample signals at discrete instants to represent the physical reality with bits. The lecture also delves into the errors that can arise during signal sampling, the process of quantization, and the importance of choosing the right sampling period. Various examples are provided to illustrate the impact of different sampling periods on signal representation and information loss.