Steady State RLS with Adaptive memory
Versione 1.0.0.0 (2,06 KB) da
Ihsan Ullah
Adaptive Channel Equalization (Take any Chirp signal or a low freq. signal as input)
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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R14SP2
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- Signal Processing > Signal Processing Toolbox > Digital and Analog Filters > Digital Filter Design > Adaptive Filters >
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Versione | Pubblicato | Note della release | |
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1.0.0.0 |