Abstract
Quaternion least-mean-quare (QLMS) algorithm has been thoroughly investigated in the past for the adaptive filtering of 3D and 4D signals. However, QLMS is restricted to one-channel processing of such 3D and 4D processes. To address this shortcoming, we proposed the multichannel QLMS so that we can exploit the additional information from the multitude of 3D-4D vector sensors. For rigour, we provide the stability bound of the multichannel QLMS and demonstrate its robustness against noise. Simulations on real world 4D signals support the analysis.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Acoustics, Speech, and Signal Processing |
| Subtitle of host publication | ICASSP |
| Place of Publication | Brighton UK |
| Publisher | IEEE |
| Pages | 1-4 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-1-4799-8131-1 |
| DOIs | |
| Publication status | E-pub ahead of print - 17 Apr 2019 |
Keywords
- Signal Processing
- adaptive filters
- quaternion
- machine learning
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