Solving harmonic estimation problems in power quality signals has attained significant importance in recent times. Stochastic optimization algorithms have been successfully employed to determine magnitude of this information in an unknown signal contaminated with noise or containing additive dc decaying components. The present paper shows how a recently proposed stochastic optimization algorith...

Visible and near infrared (Vis/NIR) spectroscopy was investigated for the fast analysis of superoxide dismutase (SOD) activity in barley (Hordeum vulgare L.) leaves. Seven different spectra preprocessing methods were compared. Four regression methods were used for comparison of prediction performance, including partial least squares (PLS), multiple linear regression (MLR), least squares-support...

We propose a sequential method to estimate monotone convex function that consists of: (i) monotone regression via solving a constrained least square problem and (ii) convexification of the monotone regression estimate via solving an associated constrained uniform approximation problem. We show that this method is faster than the constrained least squares (LS) method. The ratio of computation ti...

To improve the performance of sensorless induction motor (IM) drives, an adaptive speed estimation method based on a strong tracking extended Kalman filter with a least-square algorithm (LS-STEKF) for induction motors is proposed in this paper. With this method, a fading factor is introduced into the covariance matrix of the predicted state, which forces the innovation sequence orthogonal to ea...

Fifth-generation (5G) requires a highly accurate estimate of the channel state information (CSI) to exploit benefits massive multiple-input-multiple-output (MaMIMO) systems. 5G systems use pilot sequences behaviour using traditional methods like least squares (LS), or minimum mean square error (MMSE) estimation. However, do not always obtain reliable estimations: LS exhibits poor estimation whe...

A structured Least Square (LS) method for simultaneous estimation of the mutual coupling matrix (MCM) and direction of arrival (DOA) of signal source is proposed in this paper. Mutual coupling effects are modelled in the form of a complex Toeplitz matrix. The DOAs and MCM can be simultaneously estimated by the proposed method when the observations of at least two different DOAs are available. T...

Recently, the application-oriented framework for pilot design in communication systems has been introduced. This framework is mostly appropriate for such a design since the training sequences are selected to optimize a final performance metric of interest and not some of the classical metrics quantifying the distance between the estimated model and the true one, e.g., the mean square error (MSE...

Many optical flow estimation techniques are based on the differential optical flow equation. These algorithms involve solving over-determined systems of optical flow equations. Least squares (LS) estimation is usually used to solve these systems even though the underlying noise does not conform to the model implied by LS estimation. To ameliorate this problem, work has been done using the total...

Channel estimation is one of the most significant technologies in the orthogonal frequency division multiplexing (OFDM) system and its accuracy will influence the performance of the whole system directly. Among all kinds of channel estimation algorithms, the least square(LS)estimation and the linear minimum mean-squared error (LMMSE) estimation are the most classic ones. However, both the two e...