Fourier Transform: Exploring Magnitude at 3Hz

In summary, the Fourier transform is a mathematical tool used to analyze functions in the frequency domain. It involves expressing a function as a combination of sinusoidal functions of different frequencies. Even if the original function only contains one frequency, the Fourier transform will reveal information about surrounding frequencies due to the nature of the transform. This is because any time-limited function will require an infinite bandwidth to be accurately represented in the frequency domain.
  • #1
WCMU101
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Hey all.

On Wiki (http://en.wikipedia.org/wiki/Fourier_transform#Properties_of_the_Fourier_transform) they have some really good pictures explaining the Fourier transform - see the introduction section. The Fourier transform is of an exponentially decaying sinusoid - where the sinusoid (cosine) has a frequency of 3Hz. I do not understand why the Fourier transform has "magnitude" for frequencies surrounding 3Hz? Isn't 3Hz the only frequency present in the function?

Thanks.

Nick.
 
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  • #2
If you express some function through a Fourier series, you need sin/cos functions of different frequencies, depending on the original function. Now if you Fourier transform the latter, you basically regain information of those frequencies. That frequency spectrum obviously needs to contain more than just the value of 3Hz.
 
  • #3
WCMU101 said:
Hey all.

On Wiki (http://en.wikipedia.org/wiki/Fourier_transform#Properties_of_the_Fourier_transform) they have some really good pictures explaining the Fourier transform - see the introduction section. The Fourier transform is of an exponentially decaying sinusoid - where the sinusoid (cosine) has a frequency of 3Hz. I do not understand why the Fourier transform has "magnitude" for frequencies surrounding 3Hz? Isn't 3Hz the only frequency present in the function?

Thanks.

Nick.

Does the sinusoid look like a periodic function? If it is not periodic, or varies from a pure sine wave, then it is made up of more than just 1 frequency component.

Any time-limited function will need infinite bandwidth to be represented in the frequency domain, and you can see this function is not periodic and begins and stops; its only a pulse.
 

FAQ: Fourier Transform: Exploring Magnitude at 3Hz

What is the Fourier Transform?

The Fourier Transform is a mathematical tool used to analyze the frequency components of a signal or function. It decomposes a signal into its constituent frequencies, allowing for a better understanding of its behavior and characteristics.

What is the significance of exploring magnitude at 3Hz?

Exploring magnitude at 3Hz allows for a deeper understanding of the frequency components present in a signal. This specific frequency may be important for certain applications or may reveal patterns or relationships within the signal.

How is the Fourier Transform used in scientific research?

The Fourier Transform is used in a variety of scientific fields, including physics, engineering, and neuroscience. It is often used to analyze and understand data collected from experiments, as well as to develop mathematical models and simulations.

Can the Fourier Transform be applied to any type of signal?

Yes, the Fourier Transform can be applied to any type of signal, as long as it is finite and continuous. This includes signals from various sources such as sound waves, electrical signals, and images.

What are some limitations of the Fourier Transform?

One limitation of the Fourier Transform is that it assumes the signal is periodic, meaning it repeats itself indefinitely. This may not always be the case in real-world signals. Additionally, the Fourier Transform may not accurately represent signals with sharp changes or discontinuities.

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