Signal estimation is important for protection, systemstudy and control purposes. This paper deals with the application of a Recursive Least Square (RLS) algorithm with variable forgetting factor for estimation of frequency components in a generic input signal. Application areas such as synchronization and control in three-phase and single-phase systems for various grid conditions as well as estimation of harmonic and subsynchronous components will be discussed. Simulation and experimental results will be used to evaluate the dynamic performance of the algorithm
This paper presents results of evaluation of Recursive Least Squares (RLS) algorithm for real time a...
Abstract. In a high-rate indoor wireless personal communication system, the delay spread due to mult...
International audienceThis paper proposes a frequency-adaptive weighted least squares-based algorith...
Signal estimation is important for protection, system study, and control purposes. This paper deals ...
Abstract—The performance of the recursive least-squares (RLS) algorithm is governed by the forgettin...
This paper deals with the application of the Recursive Least Square (RLS) algorithm for estimation o...
This paper is concerned with studying the forgetting factor of the recursive least square (RLS). A n...
WOS: 000277170100005H. H. Sayan, M. Kahraman, i. Kosalay. Simulation of Frequency Spectrum of Electr...
A number of methods have been proposed and implemented to improve system damping against low-frequen...
Mitigation of the effects of tonal noise and vibration has importance across a wide range of applica...
In this paper, we deal with deterministic dominance of stochastic equations. The obtained results le...
The Recursive Least Squares algorithm (RLS) is utilized in digital signal processing as an adaptive ...
Abstract In this work, we present low-complexity variable forgetting factor (VFF) techniques for dif...
Texto completo: acesso restrito. p.1067-1072This paper presents a new algorithm, derived from the re...
Frequency response estimation Recursive least-squares fitting response at the oscillation frequency....
This paper presents results of evaluation of Recursive Least Squares (RLS) algorithm for real time a...
Abstract. In a high-rate indoor wireless personal communication system, the delay spread due to mult...
International audienceThis paper proposes a frequency-adaptive weighted least squares-based algorith...
Signal estimation is important for protection, system study, and control purposes. This paper deals ...
Abstract—The performance of the recursive least-squares (RLS) algorithm is governed by the forgettin...
This paper deals with the application of the Recursive Least Square (RLS) algorithm for estimation o...
This paper is concerned with studying the forgetting factor of the recursive least square (RLS). A n...
WOS: 000277170100005H. H. Sayan, M. Kahraman, i. Kosalay. Simulation of Frequency Spectrum of Electr...
A number of methods have been proposed and implemented to improve system damping against low-frequen...
Mitigation of the effects of tonal noise and vibration has importance across a wide range of applica...
In this paper, we deal with deterministic dominance of stochastic equations. The obtained results le...
The Recursive Least Squares algorithm (RLS) is utilized in digital signal processing as an adaptive ...
Abstract In this work, we present low-complexity variable forgetting factor (VFF) techniques for dif...
Texto completo: acesso restrito. p.1067-1072This paper presents a new algorithm, derived from the re...
Frequency response estimation Recursive least-squares fitting response at the oscillation frequency....
This paper presents results of evaluation of Recursive Least Squares (RLS) algorithm for real time a...
Abstract. In a high-rate indoor wireless personal communication system, the delay spread due to mult...
International audienceThis paper proposes a frequency-adaptive weighted least squares-based algorith...