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# peak2peak() - Signal Processing

### Syntax

### Example

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Y = peak2peak(X) returns the difference between the maximum and minimum values in X. peak2peak operates along the first nonsingleton dimension of X by default. For example, if X is a row or column vector, Y is a real-valued scalar. If Y is an N-by-M matrix with N > 1, Y is a 1-by-M row vector containing the maximum-to-minimum differences of the columns of X.Y = peak2peak(X,DIM) computes the maximum-to-minimum differences of X along the dimension, DIM.

Y = peak2peak(X)Y = peak2peak(X,DIM)

Peak-to-Peak Difference of SinusoidOpen This Example Compute the maximum-to-minimum difference of a 100 Hz sinusoid sampled at 1 kHz. t = 0:0.001:1-0.001; x = cos(2*pi*100*t); y = peak2peak(x) y = 2 Peak-to-Peak Difference of Complex ExponentialOpen This Example Compute the maximum-to-minimum difference of a complex exponential with a frequency of rad/sample. Create a complex exponential with a frequency of rad/sample. Find the peak-to-peak difference.n = 0:99; x = exp(1j*pi/4*n); y = peak2peak(x) y = -1.7071 - 0.7071i Peak-to-Peak Differences of 2-D MatrixOpen This Example Create a matrix where each column is a 100 Hz sinusoid sampled at 1 kHz with a different amplitude. The amplitude is equal to the column index. Compute the maximum-to-minimum differences of the columns.t = 0:0.001:1-0.001; x = cos(2*pi*100*t)'*(1:4); y = peak2peak(x) y = 2 4 6 8 Peak-to-Peak Differences of 2-D Matrix Along Specified DimensionOpen This Example Create a matrix where each row is a 100 Hz sinusoid sampled at 1 kHz with a different amplitude. The amplitude is equal to the row index. Compute the maximum-to-minimum differences of the rows specifying the dimension equal to 2 with the DIM argument.t = 0:0.001:1-0.001; x = (1:4)'*cos(2*pi*100*t); y = peak2peak(x,2) y = 2 4 6 8