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Basic Sampling Theory Explained by Andrés RN is a document available to read on EtoBox.

The document provides an overview of basic sampling theory as it relates to converting continuous analog signals to discrete digital signals. Some key points covered include: - Continuous signals in the real world must be discretized through sampling in order for computers to process them. - The Nyquist frequency establishes the minimum sampling frequency needed to avoid aliasing, which is half the highest frequency contained in the signal. - Quantization converts the sampled signal values to discrete b

Author
Andrés RN
Language
EN