Convolution is an operation used to define an output signal from any linear time-invariant (LTI) processor in response to any input signal.
The correlation functions described later in this section estimate either the auto-correlation of a source vector or the cross-correlation of two vectors
The full list of functions in this group is given in the table below.
| Function Base Name | Operation |
|---|---|
| Conv | Performs finite, linear convolution of two sequences. |
| ConvBiased | Computes the specified number of elements of the full finite linear convolution of two vectors. |
| ConvCyclic | Performs cyclic convolution of two sequences of the fixed size. |
| AutoCorr | Estimates normal, biased, and unbiased auto-correlation of a vector and stores the result in a second vector. |
| CrossCorr | Estimates the cross-correlation of two vectors. |
| UpdateLinear | Integrates an input vector with specified integration weight. |
| UpdatePower | Integrates the square of an input vector with specified integration weight |
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