نتایج جستجو برای: recursive least square rls
تعداد نتایج: 524536 فیلتر نتایج به سال:
This paper describes the design of a new self-tuning controller to control tip trajectory and tip deflection of a two-link flexible manipulator handling variable payloads based on nonlinear autoregressive with moving average and exogenous input (NARMAX) model. This proposed adaptive controller consists of a multivariate proportional integral and derivative (PID) feedback loop. The gains of the ...
The recursive least squares (RLS) algorithm is one of the most popular adaptive algorithms that can be found in the literature, due to the fact that it is easily and exactly derived from the normal equations. In this paper, we give another interpretation of the RLS algorithm and show the importance of linear interpolation error energies in the RLS structure. We also give a very efficient way to...
With the advancement in wireless communication, the desire to achieve data transmission at high speed is also increasing. But accomplishing high data rate transmission over broadband wireless channel seems a challenging task. Multiple-input-multiple-output (MIMO) communication when combined with OFDM System allows reliable transmission of data. The pilot based channel estimation is one of the m...
The multi-input multi-output (MIMO) communication framework is adopted for wireless sensor networks by having multiple sensors equipped with single-element antennas cooperate in transmission. A power method-based iterative algorithm is developed that computes the optimal transmit and receive eigen-filters distributively among the sensors while transferring most of the computational burden to th...
When acquiring the Electrocardiogram (ECG) signal from the person, it should be preprocess before sending to the analyst for taking decision of the signal, because signal should be affected with various artifacts. For numerous applications of noise cancellation in the corrupted signals, adaptive filters play important role. The various artifacts which commonly occur in the acquisition of ECG si...
Active power filter (APF) has now become a mature technology for harmonic and reactive power compensations in two-wire (single phase), three-wire (three phase without neutral), and four-wire (three phase with neutral) ac power networks with nonlinear loads. This paper presents a study on three different adaptive algorithms for active power filtering applications. These algorithms are adaptive l...
This paper presents a new power-line disturbance detection algorithm. The utilized recursive least square (RLS) prediction error lter extracts the power-line disturbance signal from recorded data, and the modi ed stop-and-go cell average constant false alarm rate (CA CFAR) detector makes a decision based on the squared output of the previous stage. The detection performance of the proposed algo...
We present a “twice universal” linear prediction algorithm over the unknown parameters and model orders, in which the sequentially accumulated square prediction error is as good as any linear predictor of order up to some M , for any individual sequence. The extra loss comprises of a parameter “redundancy” term proportional to (p/2)n-’ In(h), and a model order “redundancy” term proportional to ...
Abstract Various forms of artifacts can readily contaminate an electroencephalogram recorded using surface electrodes. A comparison several (EEG) de-noising methods is shown here. Five distinct noise are reduced three different strategies, and the results compared. These procedures Recursive Least Squares (RLS) adaptive algorithm, Mean (LMS) method, Fully Connected Neural Network (FCNN). The ti...
In most adaptive signal processing applications, system linearity is assumed and adaptive linear filters are thus used. The traditional class of supervised adaptive filters rely on error-correction learning for their adaptive capability. The kernel method is a powerful nonparametric modeling tool for pattern analysis and statistical signal processing. Through a nonlinear mapping, kernel methods...
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