Discrete samples into continuous signal

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SUMMARY

This discussion centers on the conversion of discrete samples into continuous signals, specifically referencing the Nyquist-Shannon sampling theorem and Fourier theory. It establishes that while discrete samples can be extracted from a continuous signal, the reverse process—constructing a continuous signal from discrete samples—can only yield an approximation. Additionally, it confirms that every continuous function can indeed be modeled using Fourier theory, incorporating the "half integer" correction to account for value ranges.

PREREQUISITES
  • Understanding of the Nyquist-Shannon sampling theorem
  • Familiarity with Fourier theory and its application in signal processing
  • Knowledge of continuous and discrete functions
  • Concept of "half integer" correction in mathematical modeling
NEXT STEPS
  • Research the implications of the Nyquist-Shannon sampling theorem in digital signal processing
  • Explore Fourier series and their application in modeling continuous functions
  • Study the concept of approximation in signal reconstruction
  • Investigate the mathematical principles behind "half integer" corrections in Fourier analysis
USEFUL FOR

Mathematicians, signal processing engineers, and anyone involved in the fields of digital signal processing and Fourier analysis will benefit from this discussion.

auntio
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A) Let us say that we have some arbitrary sequence of natural numbers. e.g. 1, 2, 7, 3, 17, 19. Is it possible to convert every finite and infinite sequence into some continuous function model, such as in Fourier theory?

I know that it is possible to extract some discrete samples from a continuous signal/function and construct the original continuous signal, as provided by Nyquist-Shannon sampling theorem. The question is whether it is possible to construct a continuous signal that models a set of discrete samples. Can this only be approximate?

B) Can every coninuous function/signal be modeled by Fourier theory - converted into a series of sine and consine functions with unique frequencies?
 
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Use the "half integer" correction. That is, you assume that a value of "2" could be anywhere from 1 and 1/2 to 2 and 1/2.
 

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