Graduate What Is a Fourier Series?

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Fourier Series are a method to decompose continuous signals into their constituent frequencies. The Fourier Transform converts a time-domain signal into the frequency domain, applicable to infinitely long signals. Engineers often use the Discrete Fourier Transform (DFT) for repeating signals, which provides frequency values as harmonics of a fundamental note. The Fast Fourier Transform (FFT) optimizes this process by using sample sizes that are powers of 2, enhancing analysis speed. Understanding these concepts is crucial for applications in fields like electronics and signal processing.
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Working on some microwave stuff, read about this but can't understand the explanations online.
 
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What's the question?
 
sophiecentaur said:
What's the question?
What are Fourier Series in layman's terms ?
 
What have you found out and read so far?
 
sophiecentaur said:
What have you found out and read so far?
Basically what I understand is that it is a method to find different parts of a continuous signal.
 
Hmm. The Fourier Transform transforms a signal in the time domain (a varying voltage or whatever) into the frequency domain (a set of frequencies). It strictly applies to an infinitely long signal (with no beginning or end) and the resulting frequency domain signal can consist of a continuum of values.
Engineers use a Discrete Fourier Transform and that assumes a repeating g signal which you represent by a fixed number of values in a time window - say a sampled waveform from an electronic organ note. The DFT gives you a set of values of frequencies in that signal and the frequencies are all harmonics of the fundamental note. At its simplest, it would correspond to the draw-bar settings on an old fashioned Hammond Organ which give a particular audio wave form.
The Fast Fourier Transform is just a smart way to speed up the Fourier analysis by always using a number of samples that is a power of 2. i.e. 256 samples or 2048 or as many as you lime, depending on the accuracy you want. Single chips are available that will do that for you.
 
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sophiecentaur said:
Hmm. The Fourier Transform transforms a signal in the time domain (a varying voltage or whatever) into the frequency domain (a set of frequencies). It strictly applies to an infinitely long signal (with no beginning or end) and the resulting frequency domain signal can consist of a continuum of values.
Engineers use a Discrete Fourier Transform and that assumes a repeating g signal which you represent by a fixed number of values in a time window - say a sampled waveform from an electronic organ note. The DFT gives you a set of values of frequencies in that signal and the frequencies are all harmonics of the fundamental note. At its simplest, it would correspond to the draw-bar settings on an old fashioned Hammond Organ which give a particular audio wave form.
The Fast Fourier Transform is just a smart way to speed up the Fourier analysis by always using a number of samples that is a power of 2. i.e. 256 samples or 2048 or as many as you lime, depending on the accuracy you want. Single chips are available that will do that for you.
Thank you! Finally something that made sense
 
Tech2025 said:
Thank you! Finally something that made sense
Glad that taster helped. There is a lot more to it, remember. :wink:
 

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