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fft变换,获得采样数据基本信息(The FFT transform obtains the basic information of sampled data)
fft变换,获得采样数据基本信息(The FFT transform obtains the basic information of sampled data) %FFT transform, obtaining the sampling data of basic information, time domain, frequency domain graph Here are the vector% row vector, assuming the measured variable speed, the unit is m/s Clear; Close all; Load data.txt% by the original data measured, stored as data.txt, there is a template in the annex (this signal is very irregular) A=data;% measurement data will be assigned to A, then A is an array of N x 2 X=A (: 1)%; the first column assignment in A to x, the formation of time series X=x;% will become the column vector vector Y=A (: 2); A% in second columns assigned to y, formed by the measurement sequence Y=y;% will become the column vector vector % data display basic information Fprintf (\n data basic information: \n) Fprintf (%7.0f \n= sampling points, length (x))% of the output number of sampling data Fprintf (%7.3f s\n= sampling time, max (x) -min (x))% output sampling time Fprintf (=%7.1f sampling frequency Hz\n, length (x) / (max (x) -min (x)))% output sampling frequency Fprintf (minimum speed =%7.3f m/s\n min (y))% of the sampling output is the measurement of the minimum value Fprintf (average speed =%7.3f m/s\n mean (y))% of the sampling output measured average value Fprintf (median =%7.3f speed m/s\n, median (y))% of the sampling output measured value Fprintf (maximum speed =%7.3f m/s\n max (y))% of the sampling output measured maximum value Fprintf (standard deviation =%7.3f \n, STD (y))% output of the sampling data of standard deviation Fprintf (%7.3f \n= covariance, cov (y))% of the sampling covariance data output Fprintf (self correlation coefficient =%7.3f \n\n corrcoef (y))% output of the sampling data autocorrelation coefficient % shows the original data curve (time domain) Subplot (2,1,1); Plot (x, y)% shows the original data curve Axis ([min (x) max (x) 1.1*floor (min (y) 1.1*ceil (max) (y)]))% coordinate optimization, not essential Xlabel (time (s)); Ylabel (m
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