Abstract: The frequency estimation of the harmonics in multiplicative and additive noise is investigated in this paper. To improve the frequency resolution of estimation, this paper proposes a SVD-based ESPRIT algorithm to estimate the frequency of harmonics in multiplicative and additive noise. The proposed SVD-based ESPRIT algorithm not only has high-resolution, but also is easy to be impleme...

ABSTRACT This paper presents a new algorithm for harmonic estimation in power systems. It utilizes separable least squares (SLS) technique to estimate the magnitude and phase angle of the harmonics by analyzing the waveform. As well as hybrid techniques have been utilized in this paper to estimate harmonics, real coded genetic algorithm (RCGA) and particle swarm optimization (PSO) utilized to e...

—This paper studies the frequency estimation of twodimensional (2-D) harmonics in presence of multiplicative and additive noise. We construct a cyclic covariance matrix using a class of cyclic covariance of the 2-D harmonics. Exploiting the shift-invariance structure of the signal subspace, we extend ESPRIT to estimate the frequency pairs of 2-D harmonics in multiplicative and additive noise. ...

This paper presents the maiden application of a variant of Kalman Filter algorithm known as Local Ensemble Transform based Kalman Filter (LET-KF) for power system harmonic estimation. The proposed algorithm is applied for estimating the harmonic parameters of a power signal containing harmonics, sub-harmonics, inter-harmonics in presence of white Gaussian noise. These algorithms are applied and...

In this report, we studied the sampling synchronization of a discrete signal in the receiver of a communication system and found that the frequency of the received signal usually exhibits some unpredictable deviations. We observed many harmonics caused by the frequency deviations of the discrete received signal. These findings indicate that signal sampling synchronization is an important resear...

This paper proposes novel robust speech F0 estimation using SRH (Summation Residual Harmonics) based on TV-CAR (Time-Varying Complex AR) analysis. We have already proposed robust F0 estimation based on the TV-CAR analysis in which weighted auto-correlation for complex residual signals is used as the criterion. In the SRH method, the criterion is calculated from LP residual signals. The criterio...

pulse-width modulated (pwm) adjustable frequency drives (afds) are extensively used in industries for control of induction motors. it has led to significant advantages in terms of the performance, size, and efficiency but the output voltage waveform no longer remains sinusoidal. hence, overshoots, high rate of rise, harmonics and transients are observed in the voltage wave. they increase voltag...

this paper presents a new control methodology for active power filters that provide an adaptive online harmonic estimation with partial and selective harmonic reduction schemes, which has been implemented within an integrated controller. the proposed approach is to provide partial and selective reduction of those individual harmonics which exceed the recommended levels as set by regulatory bodi...

A new cepstrum-based technique is developed in order to provide an alternative means of estimating the harmonics-tonoise ratio in voice signals. The geometric mean harmonics-tonoise ratio (GHNR) is defined as the mean of the individual spectral (i.e. at specific frequency locations) harmonics-tonoise ratios in dB. A heuristic development of the method treats the harmonic spectrum (in dB) of voi...

Monaural sound source separation is the process of separating sound sources from a single channel mixture. In mixtures of pitched musical instruments, the problem of overlapping harmonics poses a significant challenge to source separation and reconstruction. One standard method to resolve overlapped harmonics is based on the assumption that harmonics of the same source have correlated amplitude...