Questions tagged [lms]

Least Mean Square adaptive filter.

The Least Mean Square adaptive filter is an FIR filter that adapts its coefficients, h[n,i], so that output y[n] most closely matches (in a mean-square sense) a given desired signal d[n] which is the output of another presumed linear time-invariant filter and both filters outputting y[n] and d[n] are driven by a common input, x[n].

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Why is my NLMS filter off by +/- 2?

I haven't done any signal processing in a while, but I'm completely stymied by the instability and bias in my implementation of a normalized least mean squares filter. I checked the usual things: Am I actually near the convergence lower bound…
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LMS adaptive filter - is it Least mean square or least mean squares?

It seems both names are used for the same algorithm: least mean square - mainly literature before 1990, for example: Widrow, Bernard, and Samuel D. Stearns. "Adaptive signal processing prentice-hall." Englewood Cliffs, NJ (1985). least mean squares…
matousc
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Fair performance comparison betweem LMS & NLMS

How can I choose the step size $\mu$, when I'm comparing different algorithms such as LMS, NLMS and transform domain adaptive filters, regarding their convergence speed, to get a fair comparison between them for mean-squared-error learning…
Don
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How to calculate EVM in %age of an Equalized Constellation in 16QAM?

I have an equalized constellation for 16 QAM. The constellation is equalized by LMS algorithm. I want to calculate the EVM for the equalized constellation. How can I calculate this so that the EVM lies within the threshold limit?