![]() Now let's say your friend wanted a higher resolution spectrum. From that, your friend could recreate the photograph, but it would only have 5 bins of resolution ("bins" is used because real buckets or bins collect over the size of their entire mouth-water falling in near a side is treated the same as if it fell in the center). ![]() You could say, "from red to violet, it goes strong, weak, none, strong, strong," meaning that when looking at it, you chopped the x-axis into 5 portions (or "bins") and described the intensity of each portion. Let's say you had to describe to a friend over the phone a photograph of a light spectrum (split by a prism). Before WhiteCap provides a frequency spectrum to the config, WhiteCap must choose the spectrum's resolution. WhiteCap is a black box that (1) runs programs called configs, (2) draws the wireframes these configs define, and (3) provides access to a frequency spectrum of the current audio whenever the current config asks for it. But because it's a photograph, we can't say anything about what the light signal was like before or a little after the moment in time when the photograph was taken-we can only say it was similar shortly before and after the photograph time. For the given moment in time, the photograph shows the strength of each of the frequencies composing the signal. For example, when you see that CDs are sampled at 44.1kHz, it means each speaker on your CD player reproduces 44,100 speaker positions per second.Ī frequency sample is like a photograph of a light spectrum coming out of a prism. Because a computer can store samples thousands of times a second, it can record samples quickly enough to recreate the original sound. Like sampling cake, a computer samples sound in small pieces and assumes the sound between these intervals didn't significantly change. A computer samples sound by seeing how hard the air is pressing against the microphone at an instant in time, called deflection sampling (because the microphone membrane deflects a certain distance depending on the air pressure due to sound waves). To "sample" a freshly baked cake is to try part of the whole cake with the assumption that parts we didn't try taste nearly the same. If we used a fourier transform on the recording, we'd see two peaks, one at 500Hz and the other at 800Hz. Like a light spectrum, we can represent a frequency spectrum by having the x-axis be frequency and the y-axis be "the strength of frequency x contained in the beam/signal." Suppose we recorded a 500Hz and a 800Hz tuning fork playing together. In the world of sound, a Fourier transform is like a prism it splits a sound signal up into its component frequencies. We use a prism to split sunlight up into its component colors (ie, electromagnetic frequencies).
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