This is an implementation designed in VB6/VBA. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.

Signal processing with Spectral Forecast - is a demo application designed in Javascript, that is able to mix two signals (A and B) in arbitrary proportions. Different cases can be seen, with two different waveform signals that are combined depending on a value d.

This is an implementation designed in C#. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.

Spectral Forecast equation (VB6 app 1.0) - is a demo application designed in Visual Basic 6.0, that is able to mix two signals in arbitrary proportions. Different cases can be seen, with two different waveform signals that are combined depending on the value of a parameter called distance.

Waveform mixing with Spectral Forecast in JS - is a demo application designed in Javascript, that is able to mix two signals (A and B) in arbitrary proportions. Some cases can be seen, with two different waveform signals that are combined depending on a value d, called a distance.

This is a demo application designed in Visual Basic 6.0, that is able to mix two signals in arbitrary proportions. Different cases can be seen, with two different waveform signals that are combined depending on the value of a parameter called distance d. This distance d can be defined from zero to the maximum value found above the two vectors.

This is an implementation designed in Python. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.

This is an implementation designed in Javascript. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.

A more complex example that uses the spectral forecast equation is related to matrices. A question that can be asked this time would be: given two matrices A and B, what would a third matrix (M) look like if it must resemble both A and B in a certain proportion?

This is an implementation designed in PHP. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.

This is an implementation designed in eight different programming / scripting languages, namely C#, Python, VB6, Javascript, Perl, Ruby, Java and PHP. Each implementation is able to mix two signals/vectors (A and B) in arbitrary proportions.

This is an implementation designed in Java. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.

This is an implementation designed in Perl. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.

Spectral forecast is a novel general-purpose prediction model recently published in the journal CHAOS. The model revolves around three known states: two extreme outcomes (A and B) and one measurement (P). These states are represented by either vectors or matrices that include sets of homologous parameters.