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94                                                5 Time-Series Analysis

                                 Principle of Welchʼs Method



                2
                1
              y(t)  0
               −1
               −2

                                                          Original signal
                                        1st segment
                2                       (t = 1 : 100)
                1                             Overlap of 100 samples
              y(t)  0
               −1
                                                    2nd segment
               −2                                   (t = 51 : 150)
                                                                          2
                                                                          1
                                                                          0  y(t)
                                                                          −1
                                                                          −2
                2
                1
              y(t)  0       Overlap of 100 samples
               −1
               −2                        3rd segment
                                         (t = 101 : 200)

                 0    20    40   60    80   100   120  140  160   180  200
              e                              t

            Fig. 5.5 Principle of Welch power spectral analysis. The time series is divided into overlapping
            segments, then the power spectrum for each segment is computed and all spectra are averaged
            to improve the signal-to-noise ratio of the power spectrum.




            tion of the original frequencies of the three sine waves. The same procedure
            can be applied to the noisy data:
               [Pxx,f] = periodogram(yn,[],1024,1);
               magnitude = abs(Pxx);
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