Fourier transform gives a lot of practical tools for disassembly of signals in a lot of individual waves. These waves are cosine or sine waves and sinuous (described combination of sine and cosine). The advantage of simultaneous use of sine and cosine at the Fourier transform is that it opens the door introduction of the concept phase transformation makes it more general so that the Fourier transform can be used more effectively and more clearly in cases where the observed wave is not a sine nor cosine. Fourier transformation is independent of the signal, which studies in this respect that requires the same number of operations whether it be a simple or complicated wave. This is why the Discrete Fourier Transform called non-parametar transformation, ie. not directly helpful when you need an intelligent signal processing (in the case in which it is known that the signal under test sinusoid, useful to get information about the amplitude, frequency, and phase but a lot of sinus and cosine waveforms at a predefined frequency). It was determined that the input signal is estimated based on a network of fixed frequencies (bins) for which there is a possibility that it will not have any connection with the frequency of the input signal. For the network to be used in the analysis can be said that artificial given that the person doing the analysis practically alone selects the sine and cosine waves according to their frequency. Therefore, it is immediately evident that the person doing this analysis almost certainly encounter a problem in which the signal frequency to be between frequency bins transformation member. The consequence is that the sine wave that has a frequency that is between the two stages will be well displayed in the transformation. Bins which are adjacent to the one that is closest to the frequency of the input signal to try to fix this frequency deviation and therefore the energy of the input waveform to be stretched over several neighboring bins. This is also the main reason why the Fourier transform can not easily analyze the sound and give its fundamental harmonic and higher harmonics (that's why the sine and cosine waves called partials, but no harmonics) At the end when the tone frequencies A2 and A3 were displayed, which is obtained by the transformation, it is clearly shown that the frequency increased twice. It was shown earlier in the work when it is explained that the lowest frequency depends on the range between the first and the last sample and the maximum of the range of samples, ie. As the samples between the first and the last sample, the frequency will be greater.