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Random · psambit9791/jdsp Wiki · GitHub
$$9.31$$
$$[11.94, 10.01, 9.37, 9.55]$$
$$\begin{bmatrix} 11.40 & 11.91 & 9.73\\ 10.27 & 10.43 & 8.03\\ 10.49 & 10.59 & 10.36 \end{bmatrix}$$
$$0.39$$
$$[0.73, 0.68, 0.31, 0.28]$$
$$\begin{bmatrix} 0.67 & 0.9 & 0.37\\ 0.28 & 0.46 & 0.78\\ 0.92 & 0.44 & 0.75 \end{bmatrix}$$
$$5$$
$$[7, 8, 5, 7]$$
$$\begin{bmatrix} 5 & 6 & 10\\ 7 & 6 & 10\\ 7 & 7 & 5 \end{bmatrix}$$
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Random
psambit9791 edited this page Dec 10, 2023
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The Random class provides utilities to generate pseudo-random numbers based on some distribution.
Although JAVA provides a Random class, it does not provide a consistent way to generate Random numbers and especially matrices. This class allows us to generate random numbers as samples or as matrices (supported to generate upto 3-dimensional matrices).
Currently, it supports the following distributions:
- Normal Distribution
- Uniform Distribution
- As doubles in the range of 0.0 and 1.0
- As ints in a provided range
long seed = 42;
Random r1 = new Random(seed);
r1.setMeanAndSD(10.0, 1.0); //Optional; default is mean = 0.0 and S.D = 1.0
double sample = r1.randomNormalSample();
double[] arrayOne = r1.randomNormal1D(new int[]{4});
double[] arrayTwo = r1.randomNormal2D(new int[]{3, 3});
double[] arrayThree = r1.randomNormal3D(new int[]{2, 2, 2});
Sample:
Array One:
Array Two:
long seed = 42;
Random r1 = new Random(seed);
double sample = r1.randomDoubleSample();
double[] arrayOne = r1.randomDouble1D(new int[]{4});
double[] arrayTwo = r1.randomDouble2D(new int[]{3, 3});
double[] arrayThree = r1.randomDouble3D(new int[]{2, 2, 2});
Sample:
Array One:
Array Two:
long seed = 42;
Random r1 = new Random(seed);
int sample = r1.randomIntSample();
int[] arrayOne = r1.randomInt1D(new int[]{4}, 5, 10);
int[] arrayTwo = r1.randomInt2D(new int[]{3, 3}, 5, 10);
int[] arrayThree = r1.randomInt3D(new int[]{2, 2, 2}, 5, 10);
Sample:
Array One:
Array Two:
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Filters
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Signals
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Peak Detection
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Transformations
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Windowing
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