A sampler model:

Its properties:

Simulate the response of a sampler to a sinusoidal input:

Plot the input signal and the sampler's response:

A single-input, single-output sampler model:

A sampler with 2 inputs and outputs:

A sampler with custom properties:

List all available properties:

Obtain a specific property:

Obtain several properties:

Obtain the properties as an association:

As a dataset:

Simulate the response of a sampler to a decaying sinusoid:

Decrease the sampling period to obtain better sampling:

The lower sampling period results in better sampling:

A sampler model is a subsystem of a sampled data system:

Simulate the system:

Plot the response:

A sampler model is essentially a zero-order interpolation with zero initial values:

The interpolation:

The response of the sampler model:

They are the same:

A sampler model is essentially a time-based action:

The response based on WhenEvent:

The response of the sampler model:

They are the same:

A holder model inverses the operation of a sampler model:

A sampler model in series with a holder model:

The output signal is the same as the input signal:

The Nyquist–Shannon sampling theorem says that the sampling frequency must be at least twice that of the input signal frequency to reconstruct the input signal from the sampled signal:

A function that connects a sampler model and a holder model in series:

The output signal when the input is sampled at 10 times the frequency of the input signal:

Sampling at 0.5 times the input frequency results in a poor reconstruction of the signal: