Viewing noise cancellation as an input/output identification problem, designs are developed using third-order statistics which are insensitive to corruption of the reference signal by adaptive Gaussian noise of unknown covariance. As a by-product of designing linear noise cancelers, a parametric time-delay estimation approach is readily available. Higher-order statistics can also be employed to design nonlinear cancelers of the discrete Volterra type, which maximize the output signal-to-noise ratio. Both the linear only and the linear-quadratic designs are derived in batch and adaptive form, the latter being implemented using recursive least-squares approaches. Simulation examples are given to illustrate the new cancelers and to compare them with conventional approaches.
|Original language||English (US)|
|Number of pages||4|
|Journal||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
|State||Published - Dec 1 1990|
|Event||1990 International Conference on Acoustics, Speech, and Signal Processing: Speech Processing 2, VLSI, Audio and Electroacoustics Part 2 (of 5) - Albuquerque, New Mexico, USA|
Duration: Apr 3 1990 → Apr 6 1990