Page 135 - The Master Handbook Of Acoustics
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110  CHAPTER FIVE



                                       Noise is said to be purely random in character if it has a “normal”
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                                    or “Gaussian” distribution of amplitudes. This simply means that if
                                    we sampled the instantaneous voltage at a thousand equally spaced
                                    times, some readings would be positive, some negative, some greater,
                                    some smaller, and a plot of these samples would approach the familiar
                                    Gaussian distribution curve of Fig. 5-17.












                                                                Time
                                     FIGURE 5-16
                                    A section of the random noise signal of Fig. 5-15 spread out in time. The nonperiodic
                                    nature of a noise signal is evident, the fluctuations are random.



                                          0.4



                                          0.3
                                        Fraction of samples  0.2








                                          0.1



                                           0
                                             3       2        1        0        1        2         3
                                                             Instantaneous noise voltage
                                     FIGURE 5-17

                                    The proof of randomness of a noise signal lies in the sampling of instantaneous voltage,
                                    say, at 1,000 points equally spaced in time and plotting the results. The familiar bell-
                                    shaped Gaussian distribution curve results if the noise is truly random.
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