Understanding Fourier Transformation: Simple Examples

AI Thread Summary
Fourier Transformation (FT) converts time functions into frequency functions, allowing for the analysis of how systems respond to different frequencies. This transformation is particularly useful for understanding the power of each frequency within a signal. By examining individual frequency responses, one can gain insights into a system's behavior under complex forcing functions. FT provides valuable information that can be critical for applications in engineering and signal processing. Understanding these frequency components enhances the ability to analyze and optimize system responses.
karthik3k
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I am sorry 2 ask this...
I still don't understand FT.

What is the use of converting a time function to frequency function?

Can anybody explain it with a simple example ?
 
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It is just used to find the power of each frequency, other than that little other information is given in the graph of an FT so I don't know what to tell you.
 
Response systems react differently on each frequency of a complex forcing function. So you can analyse a certain response by looking at the individual response of the system on each separate frequency. That's why it's usefull to have a signal analysed on the separate frequencies.
 

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