# Adaptive Algorithm

Creates an Adaptive Algorithm object to be used in Linear_Equalizer or Decision_Feedback_Equalizer to define how the error signal is calculated and how taps are updated, depending on the specified algorithm

## Parameters

(*R*): *Run-time adjustable*

- Algorithm Type
- enum to specify which adaptive algorithm will be used; LMS, NLMS, CMA are the valid choices

- Digital Constellation Object
- A Constellation_Object which specifies the modulation used to adapt using decision directed mode of the equalizer

- Step Size
- Specifies how quickly the adaptive algorithm will converge. Too high and the equalizer becomes unstable. The optimal value is dependent on the statistical properties of the input signal

- Modulus
- (CMA only) Specifies the number of constellation points, e.g. for QPSK modulus = 4

## Example Flowgraph

See Linear_Equalizer for a flowgraph utilizing the Adaptive Algorithm Object