Critical sampling refers to the specific technique used in signal processing where the sampling frequency is chosen to be equal to twice the highest frequency present in the signal. This concept is crucial because it ensures that the original signal can be perfectly reconstructed from its samples, preventing aliasing and loss of information. It lays the foundation for understanding perfect reconstruction conditions and how sampling plays a vital role in maintaining signal integrity during the transformation process.
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