LSLLearning

class LSLLearning : public tsa::AlgoBase

rithm for the learning phase of the Adaptive Least Squares Lattice

Operations

void operator()(SeqViewDouble &InputData, SeqViewDouble &WhitenedData)

Parameters

• InputData: Time series

• WhitenedData: Whitened Time series

void operator()(SeqViewDouble &InputData, LatticeView &LatView)

Parameters

• InputData:

• LatView:

void operator()(SeqViewDouble &InputData, Dvector &Parcor)

Parameters

• InputData:

• Parcor:

void execute(matrix_row<Dmatrix> InputData, matrix_row<Dmatrix> OutputData)

Parameters

• InputData: Input data

• OutputData: Output data

Public Functions

LSLLearning(unsigned int Order, double sigma, double lambda = 1.0)

Constructor

Parameters

• Order: Order of the filter

• sigma: guessed value for the initial sigma

• Lwsp: Lenght of workspace

• lambda: forgetting factor

LSLLearning(const LSLLearning &from)

Copy constructor

Parameters

• from: The instance that must be copied

~LSLLearning()

Destructor

LSLLearning &operator=(const LSLLearning &from)

Assignement operator

Return

a reference to a new object

Parameters

• from: The instance to be assigned from