Steady State RLS with Adaptive memory

Adaptive Channel Equalization (Take any Chirp signal or a low freq. signal as input)
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Aggiornato 26 ott 2009

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SSRLSWAM is a combination of SSRLS and stochastic gradient method .
It exploits the concept of forgetting factor λ that may be required due to model uncertainty, presence of unknown external disturbances, time-varying nature of observed signal or Non-stationary behaviour of observation noise.

Cita come

Ihsan Ullah (2024). Steady State RLS with Adaptive memory (https://www.mathworks.com/matlabcentral/fileexchange/25650-steady-state-rls-with-adaptive-memory), MATLAB Central File Exchange. Recuperato .

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Creato con R14SP2
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Versione Pubblicato Note della release
1.0.0.0