![]() You know, we have complex signals that have things like harmonics and overtones, which are basically just individual frequencies that occur at the same time. I think this is intuitive for those of us that have been around audio for a little while because we’re used to working with signals that might have bass frequencies or low frequencies at the same time as high frequencies and treble frequencies. He came up with the idea that many of the complex signals that we encounter and deal with in the real world can actually be represented as the summation of individual frequencies. The idea for this goes back to a french mathematician from the late 1700’s and early 1800’s named Joseph Fourier. Nonetheless, there are certain circumstances when you’re recording and mixing where you might want to consider other ways of visualizing your signal.Īnother example of this would be what’s called the frequency spectrum of a signal or the spectral analysis of the signal. In many cases this is a very helpful way to visualize exactly the signal that you’ve recorded. You might have also heard other names for the waveform, things like the time domain representation of the signal, or the temporal analysis of the signal. The waveform represents the amplitude of the signal versus time. Now if you’re recording into a digital audio workstation, chances are that what you see displayed onto the screen when you finish recording is called a signal’s waveform. Today I’m gonna be discussing the different ways that audio engineers can visualize, represent, and analyze the audio signals that they work with.
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