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Understanding Sampling Theory Basics by Dipen Barot is a document available to read on EtoBox.

What is Understanding Sampling Theory Basics about?

The document discusses sampling theory and its applications. It defines sampling as using a priori information about a signal to represent it economically by specifying its values at selected points in time. To be uniquely represented from samples, a signal must be band-limited, meaning its Fourier transform is non-zero over a finite frequency interval. The Shannon-Whittaker-Nyquist sampling theorem states that a band-limited signal can be perfectly reconstructed from samples taken at a rate greater than tw

Author
Dipen Barot
Language
EN

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