Construct · 1 fields · 1 citations

least mean squares adaptive filter: a standalone construct

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Signal processing

an adaptive filter that updates its weights by a stochastic gradient step on the instantaneous squared error, studied for its learning and tracking behavior.

In signal processing, least mean squares adaptive filter refers to an adaptive filter that updates its weights by a stochastic gradient step on the instantaneous squared error, studied for its learning and tracking behavior. This meaning comes from Widrow (1976) in Proceedings of the IEEE.[1]

Unit
Recovery means
Measured by

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Nearby constructs

least mean squares algorithm1 fields · 1 citationsanchor · a standalone construct error4 fields · 8 citationsjingle · one word, four constructs filter3 fields · 3 citationsjingle · one word, three constructs

References

Widrow, B., McCool, J. M., Larimore, M. G., & Johnson, C. R. (1976). Stationary and nonstationary learning characteristics of the LMS adaptive filter. Proceedings of the IEEE, 64(8), 1151-1162. https://doi.org/10.1109/proc.1976.10286

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