gplib::AMRLSCanceller Class Reference
[Signal processing methods]
An implementation of the Recursive Least Squares filter with adptive memory as described in Hakin, p. 663.
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#include <AMRLSCanceller.h>
Inheritance diagram for gplib::AMRLSCanceller:
Public Member Functions | |
| virtual void | AdaptFilter (const gplib::rvec &Input, const gplib::rvec &Desired) |
| Adapt the filter weights given the Input and Desired vectors. | |
| AMRLSCanceller (const int inputsize, const double MyDelta, const double MyLambda, const double MyAlpha) | |
| virtual | ~AMRLSCanceller () |
Detailed Description
An implementation of the Recursive Least Squares filter with adptive memory as described in Hakin, p. 663.Definition at line 14 of file AMRLSCanceller.h.
Constructor & Destructor Documentation
| gplib::AMRLSCanceller::AMRLSCanceller | ( | const int | inputsize, | |
| const double | MyDelta, | |||
| const double | MyLambda, | |||
| const double | MyAlpha | |||
| ) |
Definition at line 11 of file AMRLSCanceller.cpp.
| gplib::AMRLSCanceller::~AMRLSCanceller | ( | ) | [virtual] |
Definition at line 22 of file AMRLSCanceller.cpp.
Member Function Documentation
| void gplib::AMRLSCanceller::AdaptFilter | ( | const gplib::rvec & | Input, | |
| const gplib::rvec & | Desired | |||
| ) | [virtual] |
Adapt the filter weights given the Input and Desired vectors.
Reimplemented from gplib::RLSCanceller.
Definition at line 26 of file AMRLSCanceller.cpp.
References gplib::AdaptiveFilter::GetEpsilon(), gplib::RLSCanceller::GetK(), gplib::RLSCanceller::GetLambda(), gplib::RLSCanceller::GetP(), and gplib::RLSCanceller::SetLambda().
The documentation for this class was generated from the following files:
