Understanding the Variables of the FT and DTFT: Intuition and Differences

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SUMMARY

The discussion clarifies the distinctions between the Fourier Transform (FT) and the Discrete-Time Fourier Transform (DTFT). The FT, denoted as X(f), utilizes frequency (f) as its argument, while the DTFT employs digital frequency (\Omega), which ranges from -\pi to \pi. The periodic nature of the DTFT results in a periodic expansion of the FT, leading to differences in Fourier pairs. Additionally, the DTFT can be expressed as X(e^{j\omega}), highlighting its algorithmic nature for digital signal processing, contrasting with the mathematical operation of the FT.

PREREQUISITES
  • Understanding of Fourier Transform (FT) and its mathematical properties
  • Familiarity with Discrete-Time Fourier Transform (DTFT) and its applications
  • Knowledge of digital signal processing concepts
  • Basic understanding of complex numbers and their representation in frequency analysis
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  • Study the mathematical derivation of the Fourier Transform and its properties
  • Explore the relationship between FT and DTFT through practical examples
  • Learn about the implications of periodicity in the DTFT
  • Investigate the implementation of DTFT in digital signal processing algorithms
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Students and professionals in electrical engineering, signal processing, and applied mathematics who seek to deepen their understanding of frequency analysis techniques and their applications in digital systems.

npit
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Could someone explain the intuition behind the variables of the FT and DTFT? Do I understand it correctly ?

For FT being X(f), I understand that f is a possible argument the frequency, as in number of cycles per second.

FT can be alternatively parameterized by \omega = 2 \pi f which specified the number of cycles in radians, which results in also appending a division by 2 \pi to the transform.

For DTFT, I am told that we use the "digital frequency" \Omega which ranges from 0 to 2\pi (or from-\pi to \pi). I vaguely understand that this is because of the periodicity, since X(\Omega) is a periodic expansion of the FT.

Is that all there is? If so, why do the Fourier pairs differ in the case of the FT and the DTFT?
(For example, see http://www.mechmat.ethz.ch/Lectures/tables.pdf

I have also come across the DTFT in the form of X(e^{j\omega}). What's that about?
 
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In short: FT is a mathematical operation, DTFT is an algorithm for computers to create something that approximates an FT.
 
Most likely this can only be answered by an "old timer". I am making measurements on an uA709 op amp (metal can). I would like to calculate the frequency rolloff curves (I can measure them). I assume the compensation is via the miller effect. To do the calculations I would need to know the gain of the transistors and the effective resistance seen at the compensation terminals, not including the values I put there. Anyone know those values?

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