# Functions
ExploreLearning searches the `mu` with the smallest error value from the input matrix `x` and desired values `d`.The arg `d` is desired value.`x` is input matrix.`muStart` is starting learning rate.`muEnd` is final learning rate.`steps` : how many learning rates should be tested between `muStart` and `muEnd`.`nTrain` is train to test ratio, typical value is 0.5.
Must checks whether err is nil or not.
NewFiltFBLMS is constructor of FBLMS filter.This func initialize filter length `n`, update step size `mu` and filter weight `w`.
PreTrainedRun use part of the data for few epochs of learning.The arg `d` is desired values.
# Structs
FiltFBLMS is base struct for FBLMS filter(Fast Block Least Mean Square filter).Use NewFiltFBLMS to make instance.
# Interfaces
FDAdaptiveFilter is the basic Frequency Domain Adaptive Filter interface type.