Fourier Transform of integral of a signal

In summary, the continuous time Fourier Transform of an input signal, x(t), can be represented as X(j\omega). When taking the integral of x(t), it becomes \int_{-\infty}^{t}x(\tau)d\tau \rightarrow \frac{X(j\omega)}{j\omega} + \pi X(0)\delta(\omega). However, if we want to write it in terms of frequency, f = \frac{\omega}{2\pi}, the \pi gets replaced by \frac{1}{2}. This is because \delta(\omega) is equal to \frac{1}{2\pi}\delta(f).
  • #1
maverick280857
1,789
4
Hi. I have a question regarding the continuous time Fourier Transform of an input signal:

[tex]x(t) \rightarrow X(j\omega)[/tex]

then

[tex]\int_{-\infty}^{t}x(\tau)d\tau \rightarrow \frac{X(j\omega)}{j\omega} + \pi X(0)\delta(\omega)[/tex]

but if I want to write it in terms of [itex]f = \frac{\omega}{2\pi}[/itex], should it be:

[tex]\int_{-\infty}^{t}x(\tau)d\tau \rightarrow \frac{X(j\omega)}{j\omega} + \frac{1}{2}X(0)\delta(f)[/tex]

How does the [itex]\pi[/itex] get replaced by [itex]\frac{1}{2}[/itex] here?
 
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  • #2
How does the [itex]\pi[/itex] get replaced by [itex]\frac{1}{2}[/itex] here?[/QUOTE]

For [itex]a>0[/itex], what does [itex]\delta (ax ) [/itex] equal? Why?
 
  • #3
Oh ok, so

[itex]\delta(\omega) = \delta(2\pi f) = \frac{1}{2\pi}\delta(f)[/itex]

Thanks :cool:
 

1. What is the Fourier Transform of an integral of a signal?

The Fourier Transform of an integral of a signal is a mathematical operation that decomposes a signal into its constituent frequencies. It is used to analyze signals in the time and frequency domains.

2. What is the significance of taking the Fourier Transform of an integral?

The Fourier Transform of an integral helps to identify the frequency components present in a signal, which can provide insights into the underlying processes that generated the signal. It is also a useful tool for filtering and processing signals.

3. How is the Fourier Transform of an integral calculated?

The Fourier Transform of an integral is calculated by applying the Fourier Transform to the original signal, then taking the integral of the resulting transformed signal. This can be done using mathematical formulas or using software programs.

4. Can the Fourier Transform of an integral be applied to any type of signal?

Yes, the Fourier Transform of an integral can be applied to any signal that is continuous and finite. However, it may not produce meaningful results for non-stationary or non-periodic signals.

5. What are some practical applications of the Fourier Transform of an integral?

The Fourier Transform of an integral has many practical applications, such as in signal processing, image analysis, and data compression. It is also used in fields such as engineering, physics, and economics for analyzing and understanding complex systems and phenomena.

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