Abstract
The application of block frequency domain (FFT-based) adaptive algorithms to noise cancellation is considered. Two classes of FFT-based algorithms are examined, namely, those associated with periodic convolution and those associated with linear convolution. In both cases normalized optimum convergence factors are considered. Experimental noise cancellation results are given using speech corrupted by white, colored, and harmonically structured noise (simulated engine noise). Quantitative and subjective evaluations are given for all the results, and trade-offs of performance versus computational complexity are established.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - IEEE International Symposium on Circuits and Systems |
| Publisher | Publ by IEEE |
| Pages | 698-701 |
| Number of pages | 4 |
| Volume | 1 |
| State | Published - 1991 |
| Event | 1991 IEEE International Symposium on Circuits and Systems Part 1 (of 5) - Singapore, Singapore Duration: Jun 11 1991 → Jun 14 1991 |
Other
| Other | 1991 IEEE International Symposium on Circuits and Systems Part 1 (of 5) |
|---|---|
| City | Singapore, Singapore |
| Period | 6/11/91 → 6/14/91 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials