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The original WaveWarp icon for Periodic Telegraph Noise

Periodic Telegraph Noise

What it is

Generates an audio signal based on a repeating telegraph (two-state) sequence with a (pseudo-)random distribution of change-points. For efficiency, the waveform is pre-calculated and stored in a wavetable (buffer). NOTE: the sample rate at which this component is executed can be arbitrarily set via the "Sample-rate setting for Signal Generators and Input ASCII files" button (or the "Sample-Rate Setting" command under the "Edit" menu) on the toolbar, which is activated whenever the component is selected on the DrawingBoard. Equivalently, it can be set via the dialog box which (i) appears when the component is initially dragged on to the DrawingBoard or (ii) is activated using the right-mouse-button when the component is selected on the DrawingBoard. This procedure allows the component to either (i) enforce a user-determined sample rate on the downstream component(s), or (ii) to inherit the sample rate from the downstream component(s). Different signal generators can run at different sample rates on a DrawingBoard, as long as the rules of connectivity for multiple sample rates are adhered to (see the WaveWarp Users' Guide for more information.) The characteristics of the waveform are adjustable via the Parameter Window, as summarised in the following table. Parameter Purpose "Frequency" slider Adjusts the frequency (bandwidth) of the output signal. When the wavetable is played, it is scanned at the appropriate rate (dependent on the wavetable length) to generate the desired frequency. "Amplitude" slider Adjusts the amplitude of the output signal. "Length" slider Adjusts the length of the wavetable. Plot window Displays a representative portion of the output noise sequence.

How it works

Utilizes a pseudo-random number generator using the system clock as a "seed". The waveform is stored in a wavetable, and is scanned using a table-lookup oscillator algorithm (see [Moore] section 3.1.7 and [Roa] p. 90-95 for further information).

Stock boards using this effect 3

Robotic Voice Vocoder Via ConvolutionRobotic Voice Vocoder Via Convolution_2Spectral Cross Synthesis Example1