GradientAdaptiveLaguerreLatticeFilter

代码说明：

  Gradient Adaptive Laguerre Lattice Filter( Description： Implements the order recursive adaptive laguerre filter from Fejzo and Lev-Ari (1997). Advantages: *Fewer parameter to model than FIR filters modeling long impulse responses *guaranteed stability, unique global minimum, small number of parameter for prescribed modelling error *numerically robust & and low computational complexity ( O(M) ). *Fast convergence (RLS equivalent) with no apriori learning rate required *Order recursive, so filter coefficients are uncorrelated with each other, allowing for modular implementation. Setting the pole parameter to 0 yields the standard classical gradient adaptive FIR algorithm. Includes simple example on cross-talk resistant echo cancellation to show how to use it. )