Fourier Transform and Hilber transform, properties

In summary, the textbook explains that the Fourier transform and Hilbert transform are two different types of transforms. While Fourier transform shows the same signal in two different domains, Hilbert transform gives a new signal that is not equal to the original one. Fourier transform does not have a one-to-one mapping, as it involves integrating from -infinity to +infinity. On the other hand, Hilbert transform does have a one-to-one mapping and preserves the function structure. The reason why Hilbert transform is considered a different signal from the original one is because they are physically different. Additionally, it is mentioned that the Fourier transform is one-to-one, meaning that the inverse transform will give the same function back with the same domain and codomain, which is
  • #1
kidsasd987
143
4
Textbook says, Fourier transform expresses a function in time domain as a function in frequency domain. Basically, Fourier transform gives two different expressions in terms of t domain and f domain but they represent the same signal.

It also says Hilbert transform is a different type of transform because it gives a new signal not equal to the previous one.

However, I do not think Fourier transform does 1 to 1 mapping since we have to integrate t for -infinity to +infinity. (ex, t=1 converts to f=constant.) I understand F.T shifts the domain, but strictly speaking, I don't think they have exactly the same structure (function-wise).

In contrast, Hilber transform does 1 to 1 mapping as it shifts the original function by 90 degree. In this case function structure is conserved.I wonder why we say Hilbert transform is a totally different signal from the original one. is it because they are physically different?
 
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  • #2
Fourier transform is 1-1. The inverse transform will give you the same function back (except on a set of measure 0).
 
  • #3
mathman said:
Fourier transform is 1-1.

With what domain and codomain?
 
  • #4
micromass said:
With what domain and codomain?
Reals and reals.
 
  • #5
mathman said:
Reals and reals.

So the Fourier transform of a real number is a real number?
 

1. What is the Fourier Transform?

The Fourier Transform is a mathematical operation that breaks down a function into its constituent frequencies. It is used to analyze signals and data in the frequency domain, making it easier to identify patterns and relationships between different parts of the data.

2. How does the Fourier Transform work?

The Fourier Transform works by expressing a function as a sum of sine and cosine waves of different frequencies. It decomposes the function into its frequency components, allowing us to see the contribution of each frequency to the overall signal.

3. What are the properties of the Fourier Transform?

Some of the properties of the Fourier Transform include linearity, time shifting, frequency shifting, and convolution. These properties allow us to manipulate signals and data in the frequency domain, making it a powerful tool in signal processing and data analysis.

4. What is the Hilbert Transform?

The Hilbert Transform is a mathematical operation that is closely related to the Fourier Transform. It is used to obtain a function's analytic signal, which represents the amplitude and phase of a signal at each point in time. This is useful for analyzing signals that are non-periodic or have complex waveforms.

5. What are the applications of Fourier and Hilbert Transforms?

The Fourier and Hilbert Transforms have a wide range of applications in various fields, including signal processing, image processing, communications, and quantum mechanics. They are used to analyze and manipulate signals and data in the frequency domain, making them valuable tools in many scientific and engineering disciplines.

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