Pages that link to "Item:Q4279884"
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The following pages link to Performance analysis of the forgetting factor RLS algorithm (Q4279884):
Displaying 31 items.
- Recentness biased learning for time series forecasting (Q497177) (← links)
- Variable forgetting factor LS algorithm for polynomial channel model (Q630836) (← links)
- A unified family of recursive algorithms using feedback (Q640394) (← links)
- Analysis of overshoot phenomena in initialisation stage of RLS algorithm (Q672364) (← links)
- On duality of regularized exponential and linear forgetting (Q674932) (← links)
- On exponentially weighted recursive least squares for estimating time-varying parameters and its application to computer workload forecasting (Q715772) (← links)
- Adaptive RLS algorithms under stochastic excitation. - Strong consistency analysis (Q809978) (← links)
- Gradient based variable forgetting factor RLS algorithm (Q948103) (← links)
- State-space recursive least squares. II. (Q951677) (← links)
- Tracking the condition number for RLS in signal processing (Q1185808) (← links)
- Why do optimal forgetting RLSs exhibit long term divergence and how can this be avoided? (Q1275143) (← links)
- First inverse moment of a generalized quadratic form (Q1305224) (← links)
- FFT-based exponentially weighted recursive least squares computations (Q1368766) (← links)
- Recursive least squares estimator with multiple exponential windows in vector autoregression (Q1611085) (← links)
- Adaptive reactionless control strategy via the PSO-ELM algorithm for free-floating space robots during manipulation of unknown objects (Q1647546) (← links)
- New insights into the RLS algorithm (Q1773713) (← links)
- Exact distribution and moments for the RLS estimate in a time-varying AR(1) process (Q1915012) (← links)
- Continuous-time least-squares forgetting algorithms for indirect adaptive control (Q2068569) (← links)
- Revisiting total model errors and model validation (Q2070002) (← links)
- LS-based parameter estimation of DARMA systems with uniformly quantized observations (Q2165424) (← links)
- Convergence and consistency of recursive least squares with variable-rate forgetting (Q2207182) (← links)
- Recursive identification of time-varying systems: self-tuning and matrix RLS algorithms (Q2454068) (← links)
- On the numerical stability and accuracy of the conventional recursive least squares algorithm. (Q2732784) (← links)
- Remarks on the martingale hyperconvergence theorem and the convergence analysis of the forgetting factor least squares algorithms (Q2744506) (← links)
- On-line parameter estimation for a class of time-varying continuous systems with bounded disturbances (Q3084119) (← links)
- Nonasymptotic results for finite-memory WLS filters (Q3984586) (← links)
- Convergence analysis of the RLS identification algorithm with exponential forgetting in stationary ARX-structures (Q4244226) (← links)
- BIAS AND COVARIANCE OF THE RECURSIVE LEAST SQUARES ESTIMATOR WITH EXPONENTIAL FORGETTING IN VECTOR AUTOREGRESSIONS (Q4337818) (← links)
- Artificial Intelligence and Soft Computing - ICAISC 2004 (Q4666324) (← links)
- Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification (Q4969831) (← links)
- Coupled finite-data-window RLS identification approache with forgetting factors for multi-variate systems (Q5276535) (← links)
