A new forced LMS-based adaptive algorithm utilizing the principle of potential energy (Q5952959)
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scientific article; zbMATH DE number 1690625
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A new forced LMS-based adaptive algorithm utilizing the principle of potential energy |
scientific article; zbMATH DE number 1690625 |
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A new forced LMS-based adaptive algorithm utilizing the principle of potential energy (English)
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25 August 2002
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The paper studies a LMS-based adaptive algorithm with a damping force (emulating the effect of a gravitational field on a free moving object) in the weight update recursion of the LMS algorithm. The effect of the damping force to the LMS update recursion is twofold. A negative contribution results in a time-varying Leaky-type LMS algorithm behaviour with bias-free performance. A positive contribution results in improved robustness and convergence properties. The performance of the proposed algorithm is finally evaluated by means of several simulations connected to practical applications.
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adaptive algorithms
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LMS-based algorithms
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forced convergence algorithms
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variable speed algorithms
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