The sampling theorem is a fundamental principle in signal processing that establishes the conditions under which a continuous signal can be completely reconstructed from its discrete samples. This theorem is crucial as it defines the minimum sampling rate required to avoid information loss, linking the time domain and frequency domain perspectives of signals. It also connects concepts like quantization and signal-to-noise ratio, which are essential for understanding digital signal processing.
congrats on reading the definition of Sampling Theorem. now let's actually learn it.