Recursive algorithms of adaptive lattice filters adjustment

Recursive Lattice Filters

Lattice and QR Decomposition-Based Algorithms for Recursive Least Squares Adaptive Nonlinear Filters*

This paper presents a lattice structure for adaptive Volterra systems. The stucture is applicable to arbitrary planes of support of the Volterra kernels. A fast least squares lattice and a fast QR-lattice adaptive nonlinear filtering algorithms based on the lattice structure are also presented. These algorithms share the fast convergence property of fast least squares transversal Volterra filte...

PARALLEL RECURSIVE LEAST SQUARES ALGORITHMS FOR ADAPTIVE VOLTERRk FILTERS

AOS?'RAC?' The paper presents a parallel but approximate krersion of the exact recursive least squares dgorithm. This algorithm, which we call the Parallel &cursive Least Sqcares (PRLS) algorithm has been applied to adaptive Volterra filters. I t has advantages of reduced cost per iteration and substantial reduction in waputational time per iteration if more than one processor is used. The algo...

Recursive algorithms for adaptive transversal filters: Optimality and time-variance

This thesis presents a unified theory for the design and analysis of recursive algorithms for the adaptation of transversal digital filters. First, the widely used error minimization approach to algorithm design is investigated and it is shown not to allow a coherent derivation of practical algorithms from an optimality criterion. The reason is found in the incompatibility of the assumption of ...

Intrinsically stable adaptive recursive filters

Linear Recursive Filters and also Recurrent Neural Networks can be adapted on-line but sometimes with instability problems. Stability control techniques exist for the linear case but they are either computationally expensive or non-robust. For the nonlinear case, stability control is simply usually not performed in applications. This paper presents a new stability control method for IIR adaptiv...