The paper develops an approach based on wavelet technique for the evaluation and estimation of harmonic contents of power system waveform. The proposed algorithm decomposes the signal waveforms into the uniform frequency sub-bands corresponding to the odd harmonic components of the signal. The proposed implementation of algorithm determines the frequency bands of harmonics which retain both the...

Sparse signal models are in the focus of recent developments in narrowband DOA estimation. Applying these methods to localizing audio sources, however, is challenging due to the wideband nature of the signals. The common approach of processing all frequency bands separately and fusing the results is costly and can introduce errors in the solution. We show how these problems can be overcome by d...

In this work a very low error rate pitch estimation system is presented, which is also very robust against noise. Two key aspects of the system are mainly responsible of such good behavior: on the one hand we use a multiple estimation scheme based on PLL’s. These devices provide us with robust information about the period of the speech signal harmonics. By combining this information with an add...

Accurate and robust estimation of pitch plays a central role in speech processing. Various methods in time, frequency and cepstral domain have been proposed for generating pitch candidates. Most algorithms excel when the background noise is minimal or for specific types of background noise. In this work, our aim is to improve the robustness and accuracy of pitch estimation across a wide variety...

The harmonics-to-noise ratio (HNR) has been shown to provide a useful, non-invasive index for assessing and analyzing voice disorders. As such, a valid and reliable method for estimating levels of noise and hence HNR, in human voice is important for effective evaluation and management of voice pathology. An objective method to determine the accuracy of two cepstrum-based techniques described in...

The paper discusses which properties of filter sets used in local structure estimation that are the most important. Answers are provided via the introduction of a number of fundamental invariances. Mathematical formulations corresponding to the required invariances leads up to the introduction of a new class of filter sets termed loglets. Loglets and are polar separable and have excellent uncer...

In this paper, we present a high resolution spectral estimation method for 2-D isotropic random fields with covariance functions equal to weighted sums of cylindrical harmonics. Such fields are often used to model some types of background noises in geophysics and in ocean acoustics. The approach that we present differs from previous 2-D spectral estimation techniques by the fact that we take ma...

In this paper, a discrete wavelet transform (DWT) based approach is proposed for power system frequency estimation. Unlike the existing frequency estimators mainly used for power system monitoring and control, the proposed approach is developed for fundamental frequency estimation in the field of energy metering of nonlinear loads. The characteristics of a nonlinear load is that the power signa...

Analytic formulas to calculate statistical uncertainties of $v_{n}\{2k\}$ harmonics extracted from the Q-cumulants are presented. The multivariate polynomial functions weighted means $2m$-particle azimuthal correlations, $\llangle 2m \rrangle$. Variances and covariances \rrangle$ included in analytic that can be calculated simultaneously with calculations harmonics. performed using a simple toy...