Comparison of LMS algorithm derivatives using LabVIEW FPGA
Journal Title: Acta Technica Napocensis- Electronica-Telecomunicatii (Electronics and Telecommunications) - Year 2009, Vol 50, Issue 4
Abstract
The LMS algorithm derivatives have found wide application in many areas of adaptive signal processing and control. In this paper we study the tracking performance of the LMS derivatives in adaptive noise cancellation for a speech signal corrupted by white noise. The experiments were done for 16–tap filter lengths and as for the hardware platform the NI cRIO-9104 FPGA chassis and the NI cRIO-9014 real-time module were used. The obtained results were compared to highlight the performances of each of the LMS derivatives. The results of the experiments confirm that the NLMS variant provides the most enhanced SNR and the better tracking ability is offered by the LLMS in a 16-tap adaptive filter. The performances of the algorithms are evaluated in terms of signal-to-noise ratio (SNR) at the output of the adaptive system, tracking ability and hardware usage.
Authors and Affiliations
Erwin SZOPOS, Horia HEDESIU, Victor POPESCU, Lelia FESTILA
Keywords
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