Influence of the Forgetting Factor in the Recursive Least Squares RLS Algorithm on the Quality and Precision of the Identified Parameters in a DC Corona Dischargedoi:10.1109/TPS.2024.3524470Corona dischargedc power supplyformatting factorRLS method...
In the next section, the theoretical analysis is shown to agree closely with the simulation results. Moreover, it can be used to derive a new variable forgetting factor RLS algorithm. 3.3. Experimental results The identi?cation problem shown in Fig. 1 was used to evaluate the performance of ...
The RLS algorithm in the adaptive information processing algorithm is widely used in signal processing.In this paper,RLS algorithm is firstly introduced,with the help of research and analysis to forgetting factor of RLS algorithm,a new kind of variable forgetting factor algorithm is put forward.This...
NONLINEAR RLS ALGORITHM USING VARIABLE FORGETTING FACTOR IN MIXTURE NOISE
the general RLS algorithm, which can adjust the forgetting factor automatically according to the actual situation, so as to achieve the coordination of convergence speed and tracking ability. The case study in this paper shows that this method exchanges a certain calculation speed for higher ...
3.Method of dynamically selecting forgetting factor in reputation model声望模型中一种动态选择遗忘因子的方法 英文短句/例句 1.A novel recursive MOESP subspace identification algorithm based on forgetting factor一种新的基于遗忘因子的递推子空间辨识算法 2.A Variable Forgetting Factor RLS Algorithm for Cyclos...
using RLS self-adaptable filter algorithm, the variable forget factor and different channel weight factors to track and estimate the channel; then via fast Fourier conversion, obtaining the channel transmission function matrix at time/frequency domain; at last, via interpolation, obtaining the channel ...
3) EFRLS 推广的遗忘因子递推最小二乘算法 例句>> 4) Forgetting Factor Recursive Least-squares 遗忘因子递推最小二乘法 1. In the method, Forgetting Factor Recursive Least-squares algorithm is used to estimate time-varying parameters The Simulation result shows the change tendency of the ...
The Recursive Least Squares (RLS) algorithm with forgetting factor is commonly used when estimating parameters in time-varying linear stochastic systems. The value of the forgetting factor is a trade-off between bias and variance of the ... B Lindoff 被引量: 14发表: 1997年 Variable forgetting...
IEEE Transactions on Signal ProcessingS-H Leung, C So, Gradient-based variable forgetting factor RLS algorithm in time-varying environments. IEEE Trans. ... Shu-Hung,Leung,So,... - 《IEEE Transactions on Signal Processing》 被引量: 151发表: 2005年 Fixed-Point Roundoff Error Analysis of the...