Harmonic separation plays an important role in power quality research due to the harmful impact to power system and electric apparatus. The accurate separation of harmonics is also the demand for filtering. This paper models the problem of harmonic separation as a blind source separation (BSS) task and the paper presents an algorithm called independent component analysis, which is widely used i...

Sinusoidal model and its variants are commonly used in speech processing. In the literature, there are various methods for the estimation of the unknown parameters of sinusoidal model such as Fourier transform based on FFT algorithm and Least Squares (LS) method. Least Squares method is more accurate and actually optimum for Gaussian noise, thus, more appropriate for high-quality signal process...

This paper deals with a method of quantifying the harmonic contribution each source to system voltage distortion. Assessing individual sources is essential for mitigating and managing levels. Harmonic contributions can be evaluated using principle superposition equivalent models sources. In general, parameters are estimated numerically because it difficult measure them directly. this paper, we ...

Abstract A study was carried out to develop and evaluate the performance of different machine learning (ML) models for predicting reference evapotranspiration (ET0). The included multiple linear regression (MLR), least square-support vector (LS-SVM), artificial neural networks (ANNs) adaptive neuro-fuzzy inference system (ANFIS). daily meteorological data 50 years (1970–2019) were used estimate...

This paper examines the problem of complex amplitude estimation of a multichannel signal in the presence of colored noise with unknown spatial and temporal correlation. A number of amplitude estimators are developed, including the optimum maximum likelihood (ML) estimator, which involves nonlinear optimization, and several suboptimal but computationally more efficient estimators based on least-...

This paper presents a novel approach, based on the whale optimization algorithm (WOA), for channel estimation in wireless communication systems. The proposed method provides means to accurately estimate channel, while not requiring statistical characteristics of channel. uses WOA search best toward ultimate goal having smallest bit error rate (BER). approach is aimed at enhancing efficiency pil...

Due to the short wavelength of terahertz wave, airborne synthetic aperture radar (THz-SAR) suffers from echo phase errors caused by high-frequency vibration platform. These will result in defocusing and emergence ghost targets, which degrade quality image. Therefore, it is necessary compensate for order bring image into focus. This paper proposes a multi-component parameter estimation method ba...

The main object of investigation in this paper is a very general regression model optional setting - when an observed process semimartingale depending on unknown parameter. It well-known that statistical data may present information flow/filtration without usual conditions. estimation problem achieved by means structural least squares (LS) estimates and their sequential versions. results the ar...