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http://hdl.handle.net/2080/53| Title: | Unconstrained Hartley domain least mean square adaptive filter |
| Authors: | Meher, P K Panda, G |
| Keywords: | adaptive filters computational complexity signal processing |
| Issue Date: | Sep-1993 |
| Publisher: | IEEE |
| Citation: | IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol 40, Iss 9, P 582-585 |
| Abstract: | An efficient adaptive filtering algorithm named as the unconstrained Hartley domain least mean square (UHLMS) algorithm has been proposed. It is found from computer simulation that the proposed algorithm has similar performance to the time domain least mean square (LMS) algorithm for uncorrelated signals; but yields faster and better convergence for highly correlated signals. The UHLMS algorithm has identical performance to that of the unconstrained frequency domain least mean square (UFLMS) algorithm, but requires significantly less computation |
| Description: | Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE DOI: 10.1109/82.257341 |
| URI: | http://hdl.handle.net/2080/53 |
| Appears in Collections: | Journal Articles |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| meher1.pdf | 374.68 kB | Adobe PDF | View/Open |
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