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