Results 31 to 40 of about 20,755 (208)
Filtrado adaptativo implementado sobre plataforma DSP TMS320c6713 para identificación de sistemas
This paper presents the experimental development of software and hardware configuration to implement two adaptive algorithms: LMS (Least Mean Square) and RLS (Recursive Least Square), using TMS320C6713 DSP platform of Texas Instruments, for unknown ...
Fabián Rolando Jiménez-López +2 more
doaj +1 more source
This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra +5 more
wiley +1 more source
Noise Reduction in RTL-SDR using Least Mean Square and Recursive Least Square
Noise reduction is an important process in a communication system, one of which is radio communication. In the process of broadcasting radio Frequency Modulation (FM) often encountered noise so that listeners find it difficult to understand the ...
Aviv Yuniar Rahman +2 more
doaj +1 more source
Speed‐Sensorless Model‐Free Predictive Torque Control for Induction Motor Drive
A speed‐sensorless MF‐PTC based on EKF is proposed for a 2L‐VSI‐fed IM drive to reduce the overall cost and complexity of the drive system. The rotor speed is estimated using the EKF. The instant rotor flux is also estimated using the EKF based on the rotor current model of IM, whereas a direct machine model is employed in general to estimate the rotor
Md. Belal Hossen, Md. Habibullah
wiley +1 more source
Dynamic Parameter Identification of a Lower Extremity Exoskeleton Using RLS-PSO
The lower extremity exoskeleton is a device for auxiliary assistance of human movement. The interaction performance between the exoskeleton and the human is determined by the lower extremity exoskeleton’s controller.
Fusheng Zha +5 more
doaj +1 more source
Determination of ship maneuvering models is a tough task of ship maneuverability prediction. Among several prime approaches of estimating ship maneuvering models, system identification combined with the full‐scale or free‐ running model test ...
Man Zhu, A. Hahn, Y. Wen, Andre Bolles
semanticscholar +1 more source
Parameter Estimation of PMSM Based on Improved Secretary Bird Optimization Algorithm
Figure 5 illustrates the vector control system. The ISBOA takes the motor signals id,iq,ud,uq,andωr${i_d},{i_q},{u_d},{u_q}, \text{ and }{\omega _r}$ as inputs, and estimates the key parameters: stator inductance Ls,${L_s}, $ stator resistance Rs,${R_s}, $ and permanent magnet flux linkage ψf$\psi_f$.
Xiaoliang Yang +5 more
wiley +1 more source
While deep learning‐based approaches for state of health (SOH) estimation in lithium‐ion batteries have been actively studied, most models face deployment constraints in on‐device applications due to their high complexity and large number of parameters.
Yeonho Choi +3 more
wiley +1 more source
A state of charge (SOC) estimation method based on recursive ridge leverage score‐Nystrom‐support vector machine (RRLS‐NY‐SVM) is proposed to improve computational efficiency and robustness while maintaining high estimation accuracy. The NY approximation algorithm is adopted to directly solve the nonlinear mapping function in the original space ...
Shu Liu +3 more
wiley +1 more source
Adaptive Recursive Least Squares Denoising in Ventricular Fibrillation ECG Signals
Cardiac arrest is a fatal and urgent disease in humans. A high‐quality electrocardiogram (ECG) has a positive guide to the success of defibrillation and resuscitation.
Youde Ding +6 more
doaj +1 more source

