How to store large samples of time series data in MATLAB?

Hi all, I am trying to store about 100 random samples of the following equations.

y(t)  =  µ + r(t)σ;
y(t)  =  µ + r(t)σ + a sin(2πt/T);
y(t)  =  µ + r(t)σ - gt;

Where

σ=5
y(t)=time series value
t=time
µ=mean value
a= amplitude of cycle variations
g= Magnitude of gradient trend
T= Period of cycle

The randomly distributed number is r(.).

Essentially, I'm trying to generate a lot of samples so that I can test the samples with various neural network time-series classifiers. My question is.. how do I create this data in MATLAB?

Answer 1

[Walter Roberson]

given a vector of times t,

ts1 = timeseries( mu + rand(size(t)) * sigma, t);
ts2 = timeseries( mu + rand(size(t)) * sigma + a * sin(2*pi*t/T), t);
ts3 = timeseries( mu + rand(size(t)) * sigma - g * t, t);