Quadratic Estimation of Multivariate Signals from Randomly Delayed Measurements*
Multidimensional Systems and Signal Processing
Orthogonalized power filters for nonlinear acoustic echo cancellation
Signal Processing
Filtered-X affine projection algorithms for active noise control using Volterra filters
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Signal Processing
A sparse-interpolated scheme for implementing adaptive volterra filters
IEEE Transactions on Signal Processing
On the performance of adaptive pruned Volterra filters
Signal Processing
A method for removing noise from continuous brain signal recordings
Computers and Electrical Engineering
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A diagonal coordinate representation for Volterra filters is developed and exploited to derive efficient Volterra filter implementations for processing carrier based input signals. In the diagonal coordinate representation, the output is expressed as a sum of linear filters applied to modified input signals. Hence, linear filtering methods are employed to implement the nonlinear filter on a baseband version of the input. Downsampling is then used to reduce computational complexity. The same approach is employed to develop efficient implementations for processing continuous-time carrier-based signals, pulse amplitude-modulated signals, and frequency division multiplexed input signals