Artice M. David: The Fourier Transform

In summary, the conversation discusses the concept of the Fourier transform and how it relates to the amplitude of a sinusoidal waveform at a given frequency. The conversation also mentions the analogy with Fourier series.
  • #1
goodness52200
7
0
Hello everyone ^^

Why I can say "The Fourier transform tells us " how much sinusoid" there is in the waveform at a given frequency "w""

Form Linear circuit analysis by Artice M. David

thanks a lot
 
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  • #2
It is meant in the following sense...

if you take the Fourier transform of a function F(x), the result is a function A(w), right?

[tex]\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{+\infty}F(x)e^{-iwx}dx=A(w)[/tex]

Well it turns out that this function A(w) is such that

[tex]F(x)=\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{+\infty}A(w)e^{iwx}dw[/tex]

i.e. A(w) is the amplitude of the sine wave [itex]e^{iwx}[/itex] of frequency w. So the bigger A is for a given w, the bigger the contribution of this sine wave in the integral making up F(x).

You must think in terms of analogy with Fourier series.
 
  • #3
for the question and for taking the time to read my article on the Fourier Transform. To answer your question, the Fourier Transform is a mathematical tool that allows us to break down a complex signal into its individual sinusoidal components. This is because any signal, no matter how complex, can be represented as a combination of sinusoidal waves with different frequencies, amplitudes, and phases.

In other words, the Fourier Transform allows us to analyze a signal in terms of its frequency content. By looking at the Fourier Transform of a signal, we can see how much of each frequency component is present in the signal. This is why we can say that the Fourier Transform tells us "how much sinusoid" there is in the waveform at a given frequency "w".

As for its application in linear circuit analysis, the Fourier Transform is a powerful tool that allows us to analyze the behavior of circuits in the frequency domain. By taking the Fourier Transform of a circuit's input and output signals, we can determine the frequency response of the circuit, which tells us how the circuit will behave at different frequencies. This is crucial in designing and analyzing electronic circuits, as different components and systems have different frequency responses.

I hope this helps to clarify the concept of the Fourier Transform and its application in circuit analysis. Thank you for your interest and happy learning!
 

FAQ: Artice M. David: The Fourier Transform

What is the Fourier Transform?

The Fourier Transform is a mathematical tool that breaks down a complex signal into its individual frequency components. It allows us to analyze the different frequencies that make up a signal, providing valuable insights into the underlying patterns and structures.

Who is Artice M. David?

Artice M. David is a renowned mathematician and scientist who is best known for his work on the Fourier Transform. He made significant contributions to the field of signal processing and is considered a pioneer in this area.

How is the Fourier Transform used in science?

The Fourier Transform has a wide range of applications in science, including signal processing, image processing, and data analysis. It is used to extract meaningful information from complex signals, such as sound waves, radio waves, and images.

What are some limitations of the Fourier Transform?

Although the Fourier Transform is a powerful tool, it does have some limitations. It assumes that signals are infinite and continuous, which is not always the case in real-world scenarios. It also cannot provide information about the time or location of different frequency components.

Can the Fourier Transform be applied in other fields besides science?

Yes, the Fourier Transform has applications in various fields, including engineering, economics, and music. It is a fundamental tool in understanding the underlying patterns and structures present in different types of data.

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