Frequency - More Advanced Concepts
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Why is frequency so fundamental? To really understand that, we must introduce one of
the coolest mathematical ideas ever (seriously), and that is 'Fourier Analysis'. I had a class on
Fourier Analysis in grad school at Stanford University, and the professor referred to these concepts
as 'one of the fundamental secrets of the universe'. Let's start with a question. What is the frequency of the following waveform?
Well, you'd look for what the period is and realize that it isn't periodic over the plotted region. Then you'd tell me the question was stupid. But here we go:
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As an example, lets break down the waveform in Figure 1 into its 'building blocks' or the it's frequencies. This decomposition can be done with a Fourier transform (or Fourier series for periodic waveforms). The first component is a sinusoidal wave with period T=6.28 (2*pi) and amplitude 0.3, as shown in Figure 2. |

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| The second frequency will have a period half as long as the first (twice the frequency). The second component is shown on the left in Figure 3, along with the sum of the first two frequencies compared to the original waveform. |

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| We see that the sum of the first two frequencies is starting to look like the original waveform. The third frequency component is 3 times the frequency as the first. The sum of the first 3 components are shown in Figure 4. |

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| Finally, adding in the fourth frequency component, we get the original waveform, shown in Figure 5. |

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While this seems made up, it is true for all waveforms. This goes for TV signals, cell phone signals, the sound waves that travel when
you speak. In general, waveforms are not made up of a discrete number of frequencies, but rather a continuous range of frequencies.
Next, we'll look at what we can say about these frequency ranges.
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