DPD matlab code
时间: 2023-08-24 11:09:59 浏览: 61
Here is an example code for implementing the Discrete Probability Distribution (DPD) in MATLAB:
```
% Define the discrete probability distribution
prob = [0.1 0.3 0.2 0.4]; % probability of each element
vals = [1 2 3 4]; % corresponding values
% Generate a random sample from the distribution
sample = randsample(vals, 1, true, prob);
% Plot the probability mass function (PMF)
stem(vals, prob, 'filled');
title('Discrete Probability Distribution');
xlabel('Values');
ylabel('Probability');
```
In this code, we first define the discrete probability distribution by specifying the probability of each element and its corresponding value. We then generate a random sample from the distribution using the `randsample` function. Finally, we plot the probability mass function (PMF) of the distribution using the `stem` function.
Note that the fourth argument of the `randsample` function (`true`) specifies that we are sampling with replacement. If we want to sample without replacement, we can use `false` instead.