peak2peak
The difference between the maximum and minimum.
| Library |
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Arguments
Input arguments
# x — input signal
+
vector | the matrix | An N-dimensional array
Details
An input signal specified as a vector, matrix, or multidimensional array. For complex-value input signals, peak2peak defines the maximum and minimum of the modulus of a complex quantity. Then peak2peak finds the difference between a complex number with a maximum modulus and a complex number with a minimum modulus.
| Типы данных |
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| Support for complex numbers |
Yes |
# dim — the measurement for which the operation is performed
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scalar
Details
The dimension that the operation is performed on, specified as a positive integer scalar. By default peak2peak works with the first dimension of the array x a dimension greater than 1. For example, if x — row vector or column vector, then y — a real scalar. If x — a matrix of dimension , where Then y — vector is a string of dimension , containing the difference between the maximum and minimum values in the columns x.
| Типы данных |
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Output arguments
# y — the difference between the maximum and minimum
+
scalar | the matrix | An N-dimensional array
Details
The difference between the maximum and minimum, returned as a real scalar, matrix, or multidimensional array.
Examples
The difference between the maximum and minimum values in the sine wave
Details
Calculate the difference between the maximum and minimum values for 100 Hz sinusoids with sampling frequency 1 kHz.
import EngeeDSP.Functions: peak2peak
t = range(0, stop=1-0.001, step=0.001)
x = cos.(2*pi*100*t)
y = peak2peak(x)
println("y = ", y)y = 2.0The difference between the maximum and minimum values for the complex exponent
Details
Let’s create a complex exponential with a frequency π/4 rad/countdown. Let’s find the difference between the maximum and minimum values.
import EngeeDSP.Functions: peak2peak
n = 0:99
x = exp.(im*pi/4*n)
y = peak2peak(x)-0.29289321881344843 + 0.7071067811865436imThe difference between the maximum and minimum values for a two-dimensional matrix
Details
Let’s create a matrix in which each column represents a sinusoid with frequency 100 Hz, sampled with frequency 1 kHz, with different amplitudes. The amplitude is equal to the column index.
Calculate the difference between the maximum and minimum values for the columns.
import EngeeDSP.Functions: peak2peak
t = 0:0.001:1-0.001
x = cos.(2*pi*100*t) .* (1:4)'
y = peak2peak(x)
println("y = ", y)y = [2.0 4.0 6.0 8.0]The difference between the maximum and minimum values for a two-dimensional matrix along a given dimension
Details
Let’s create a matrix in which each row represents a sinusoid with frequency 100 Hz, sampled with frequency 1 kHz, with different amplitudes. The amplitude is equal to the row index.
Calculate the difference between the maximum and minimum values of the rows, specifying the dimension equal to 2, using the argument dim.
import EngeeDSP.Functions: peak2peak
t = 0:0.001:1-0.001;
x = (1:4) .* cos.(2*pi*100*t)';
y = peak2peak(x, 2)4×1 Matrix{Float64}:
2.0
4.0
6.0
8.0