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Steady State RLS with Adaptive memory 1.0

  Date Added: July 28, 2013  |  Visits: 195

Steady State RLS with Adaptive memory

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SSRLSWAM is a combination of SSRLS and stochastic gradient method .It exploits the concept of forgetting factor d?T¬ 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.

Requirements: No special requirements
Platforms: Matlab
Keyword: Behaviour Combination Concept Disturbances Exploits External Gradient Method Nature Noise Nonstationary Observation Observed Presence Signal Ssrls Stochastic Timevarying Uncertainty Unknown
Users rating: 0/10

License: Freeware Size: 10 KB
STEADY STATE RLS WITH ADAPTIVE MEMORY RELATED
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