Multichannel signal enhancement

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36441305, 36472401, G06F 738

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active

049474804

ABSTRACT:
A mixed adaptive filter is formulated for the signal processing problem where desired a priori signal information is not available. The formulation generates a least squares problem which enables the filter output to be calculated directly from an input data matrix. In one embodiment, a folded processor array enables bidirectional data flow to solve the recursive problem by back substitution without global communications. In another embodiment, a balanced processor array solves the recursive problem by forward elimination through the array. In a particular application to magnetoencephalography, the mixed adaptive filter enables an evoked response to an auditory stimulus to be identified from only a single trial.

REFERENCES:
Robert A. Monzingo et al., "Recursive Methods for Adaptive Array Processing," Introduction to Adaptive Arrays, John Wiley & Sons (1980), pp. 319-327.
W. M. Gentleman, "Matrix Triangularization by Systolic Arrays," 298 SPIE Real-Time Signal Processing IV, pp. 19-26 (1981).
J. G. McWhirter, "Recursive Least-Squares Minimization Using a Systolic Array," 431 Proc. SPIE-Real Time Signal Processing VI, K. Bromley, Ed., pp. 105-112 (1983).
S. Haykin, Adaptive Filter Theory, Prentice-Hall, Englewood Cliffs, N.J. (1986, pp. 494-541, describes the arrays of Gentleman and McWhirter (publications 2 and 3, above) and further describes a recursive RLS-QR architecture that uses back substitution at FIG. 10.2, pp. 512-515.

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