Steady State RLS with Adaptive memory

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.