So, we need to get two channels of audio into the computer. Smaart compares the two in order to yield the transfer function, which displays the difference between the two signals. ![]() The console output is the reference channel and the measurement microphone output is the measurement channel. For now, we will work with the output of a console and a measurement microphone. Recall that Smaart requires two channels in order to compare one audio signal to another. The logical extension of this is Smaart can be used to measure during a performance, whereas other methods of measurement such as TEF rely on a known source signal to perform measurements. This means that FFT analyzers can use music as a reference signal if desired. It is very important to note that Smaart, or any other FFT analyzer, does not care what the source signal is as long as it is random enough to be distinguishable in discreet chunks. Thus, Smaart is an FFT Analyzer which compares a source (reference) signal to a measurement signal. In everyday use it is not necessary to understand the mathematics behind Smaart but it is presented as an interesting side note for the average user. ![]() The Fast Fourier Transform is able to take advantage of data which is represented in powers of 2, which of course is ideal for digital computing.
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