Title :
Quiver diagrams and signed adaptive filters
Author :
Elevitch, Craig R. ; Sethares, William A. ; Rey, Gonzalo J. ; Johnston, C.R.
Author_Institution :
Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
fDate :
2/1/1989 12:00:00 AM
Abstract :
A graphical technique for exploring the behavior of deterministic discrete time adaptive algorithms excited by periodic inputs is examined. The constraint to periodic inputs is convenient; the underlying concepts used also apply to stationary inputs drawn from finite alphabets. The resulting graph is based on plotting single-period parameter trajectories in the parameter error space and is essentially a discrete version of flow diagrams associated with continuous-time systems. For the least-mean-square (LMS) adaptive FIR filter with the algorithm step size sufficiently small, the change of adapted parameters from a particular initial value is given by the total update over the input period with the parameterization frozen at its initial value. This results in the familiar elliptical hyperparaboloid-surface steepest-descent interpretation. This method can be extended to the LMS adaptive infinite-input-response (IIR) filter with suitable approximations based on a small step size
Keywords :
filtering and prediction theory; least squares approximations; adaptive FIR filter; continuous-time systems; deterministic discrete time adaptive algorithms; elliptical hyperparaboloid-surface steepest-descent interpretation; flow diagrams; graphical technique; least-mean-square; parameter error space; periodic inputs; quiver diagrams; signed adaptive filters; single-period parameter trajectories; Adaptive algorithm; Adaptive filters; Convergence; Error correction; Finite impulse response filter; IIR filters; Least squares approximation; Limit-cycles; Parameter estimation; Trajectory;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on