Fourier phase (unwrapping problem)

In summary, the conversation discusses the phase of an integrable function and its Fourier transform, which can have discontinuities. The question posed is whether there is a condition or theorem that guarantees the phase to be continuous. A resource on digital signal processing does not provide an answer to this specific question.
  • #1
mnb96
715
5
Hello,
given an integrable function f(x), and its Fourier transform

[tex]\mathcal{F}\{f\}(\omega)=\int_{\mathbb{R}}f(x)e^{-i\omega x}dx[/tex],

we consider the phase [tex]\mathrm{Ph}_f : \mathbb{R}\rightarrow [-\pi,\pi)[/tex] which is given by:

[tex]\mathrm{Ph}_f (\omega) = \mathrm{arg}(\mathcal{F}\{f\}(\omega))[/tex]

In general the phase function will have discontinuities (when it wraps from [itex]-\pi[/itex] to [itex]\pi[/itex], and there are algorithms that attempts to recover a continuous phase function.
My question is: why should the phase be a continuous function? What is the condition/theorem that guarantees that the phase is always continuous?
 
Mathematics news on Phys.org
  • #3
I am afraid that chapter doesn't answer my question which was:

"...Is there a condition on f (or a theorem) that guarantees that the phase is certainly continuous? ..."
 

1. What is the Fourier phase unwrapping problem?

The Fourier phase unwrapping problem refers to the issue of reconstructing a continuous phase signal from its wrapped version. This occurs when the original phase values exceed the range of -π to π, and the values are "wrapped" back within this range. This can lead to errors and distortion in the signal, and the goal of Fourier phase unwrapping is to accurately recover the original continuous phase signal.

2. Why is Fourier phase unwrapping important in scientific research?

Fourier phase unwrapping is important in scientific research because it allows for accurate analysis and interpretation of data. In many fields, including signal processing, image processing, and spectroscopy, phase information can provide valuable insights and understanding of the underlying phenomenon. Accurate unwrapping of the phase allows for more precise measurements and conclusions to be drawn from the data.

3. What techniques are used for Fourier phase unwrapping?

There are several techniques used for Fourier phase unwrapping, including the Goldstein, Prentice, and least squares methods. These methods involve identifying and correcting discontinuities in the phase signal, and then reconstructing the original continuous phase. The choice of method depends on the specific application and the characteristics of the phase signal.

4. Can Fourier phase unwrapping be performed automatically?

Yes, there are algorithms and software programs that can automatically perform Fourier phase unwrapping. These programs use mathematical techniques to identify and correct phase discontinuities and reconstruct the continuous phase signal. However, it is important to carefully evaluate the results and make any necessary adjustments or corrections to ensure accuracy.

5. What are the limitations of Fourier phase unwrapping?

There are some limitations to Fourier phase unwrapping, including the presence of noise in the signal, which can lead to errors in the unwrapped phase. In addition, in some cases, the phase signal may have regions that are inherently ambiguous and cannot be accurately unwrapped. It is important to carefully evaluate the results and understand the limitations of the specific unwrapping method being used.

Similar threads

Replies
1
Views
10K
Replies
4
Views
287
Replies
4
Views
366
Replies
1
Views
900
  • Calculus and Beyond Homework Help
Replies
3
Views
284
Replies
0
Views
2K
  • General Math
Replies
3
Views
2K
  • Differential Equations
Replies
4
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
1K
  • General Math
Replies
2
Views
895
Back
Top