What is the Bessel-Parseval relation and how does it work?

In summary, the conversation discusses the Bessel-Parseval relation, which is a theorem that relates the Fourier transform of a function to its squared magnitude. It can be applied in both continuous and discrete cases, making it a useful tool in understanding the Fourier series of a function.
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  • #2
Domnu said:
The following link: http://electron6.phys.utk.edu/QM1/modules/m1/free_particle.htm mentions something about the Bessel-Parseval relation... could someone explain what this is exactly and how it works?

If you have an L2(R) (complex) function [tex]f[/tex] whose Fourier transform writes
[tex] \tilde{f}(q) = \int_{-\infty}^{+ \infty} dq f(x) e^{-2 \pi i qx } [/tex]
then the Bessel-Parseval theorem states that
[tex] \int_{-\infty}^{+\infty} \left| f(x) \right|^2 dx = \int_{-\infty}^{+\infty} \left| \tilde{f}(q) \right|^2 dq [/tex]

This theorem also works (and is simpler to understand) in the discret case i.e. considering the Fourier series of [tex] f [/tex] as a specific case of the general Pythagore theorem.
 
  • #3
Wowww... are you serious? The theorem must be ridiculously helpful then...
 

Related to What is the Bessel-Parseval relation and how does it work?

1. What is the Bessel Parseval Relation?

The Bessel Parseval Relation is a mathematical equation that relates the coefficients of a Fourier series to the energy or power of a signal. It is also known as the Parseval's theorem or the Plancherel's theorem.

2. How is the Bessel Parseval Relation used in signal processing?

In signal processing, the Bessel Parseval Relation is used to calculate the energy or power of a signal by summing the squared magnitudes of its Fourier coefficients. It is also used to compare the energy or power of different signals.

3. Can the Bessel Parseval Relation be applied to both continuous and discrete signals?

Yes, the Bessel Parseval Relation can be applied to both continuous and discrete signals. For continuous signals, the integral form of the equation is used, while for discrete signals, the summation form is used.

4. What are the assumptions for the Bessel Parseval Relation to hold true?

The Bessel Parseval Relation holds true for signals that are square-integrable, meaning that the integral of the squared magnitude of the signal is finite. It also requires the signal to have a finite energy or power.

5. Are there any practical applications of the Bessel Parseval Relation?

Yes, the Bessel Parseval Relation has many practical applications in various fields, including audio and image processing, data compression, and signal analysis. It is also used in the design and analysis of communication systems and electronic circuits.

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