Abstract
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) |
|---|---|
| Pages (from-to) | 1373-1376 |
| Number of pages | 4 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 3 |
| 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 |