What Are the Key Components of Fourier Transforms and Their Notation?

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In summary, the conversation discusses the importance of phase, amplitude, and frequency in Fourier transforms and the use of complex notation. Several questions are raised, including why the sum in the Fourier series converges to an integral for a non-cyclic function, what the symbol for the Fourier transform is, and why the formula for f(t) is called the reverse transform and that for F(w) is called the forwards transform.
  • #1
spaghetti3451
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I would like to ask what the following is supposed to convey.


In Fourier transforms, phase, amplitude and frequency are all important.
Usually deal with using complex notation e.g. A exp (-i*phi) = A cos (phi) - iA sin (phi).


Thoughts?
 
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  • #2
Also, I am wondering

1. why, for a periodic function with its period tending to infinity (a non-cyclic function), the sum in the Fourier series converges to an integral.

2. if the symbol for the Fourier transform is f(w) or F(w).

3. why the formula for F(w) is called the forwards transform and that for f(t) is called the reverse transform.

Any takers?
 

FAQ: What Are the Key Components of Fourier Transforms and Their Notation?

What is a Fourier transform?

A Fourier transform is a mathematical tool used to decompose a function into its constituent frequencies. It represents a function as a sum of sine and cosine waves of different frequencies and amplitudes.

What are the applications of Fourier transforms?

Fourier transforms are used in a wide range of scientific and engineering fields, including signal processing, image processing, data compression, and quantum mechanics. They are also essential in understanding the properties of waves and oscillations.

How is a Fourier transform different from a Fourier series?

A Fourier transform is used for continuous functions, while a Fourier series is used for periodic functions. A Fourier transform also produces a continuous spectrum of frequencies, while a Fourier series only produces discrete harmonics.

What is the inverse Fourier transform?

The inverse Fourier transform is a mathematical operation that allows us to reconstruct a function from its frequency spectrum. It is the opposite of a Fourier transform, which decomposes a function into its constituent frequencies.

Are there any limitations to using Fourier transforms?

While Fourier transforms are a powerful tool, they have limitations when dealing with non-stationary signals or signals with sharp discontinuities. In these cases, other methods such as wavelet transforms may be more useful.

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