noise-and-random-node

The Noise & Random Node is a node available in the [graph-editor] which produces different types of random values. This node is very useful for the [modulation] of other nodes.

noise type

The noise & random node supports two types of noise:

• white noise - true white noise where each sample is completely random
• stepped random - the same value is output for a given number of samples, at which point it switches to a new random value

quantization

A quantization factor of 0 means that no quantization will be performed

If enabled, quantization limits the number of discrete values that can be output by the noise generator. The quantization_factor parameter corresponds to the number of steps in the quantization. A value of 1 will result in 2 possible output values (-1 and 1), 2 will result in 3 possible outputs (-1, 0, 1), etc.

smoothing

If smoothing is enabled, a [[one-pole]] lowpass filter will be applied to noise before being output. The smoothing_coefficient parameter controls how much smoothing is applied and corresponds to the coefficient of the filter. The closer the smoothing coefficient is to 1, the more smoothing will be applied.

gain

The output values from this node are multiplied by gain before being output by the node. This gain is applied after all smoothing/quantization.

To do more complicated transformation of the output of this node, use the [scale-and-shift] node.