Add to ORKGAbstract: Using the sparsity property in the frequency domain of harmonic signals, this paper gives a harmonic extraction algorithm based on multi-resolution blind source separation (BSS) method. After the general and detailed definition of the multi-resolution BSS model is given, the wavelet packet decomposition based multi-resolution BSS algorithm for harmonic signal extraction is constructed in detail. Some simulations of the proposed algorithm are exhibited in the simulation part to demonstrate the validity of the method. At last, we discuss the impact of multiresolution BSS research and outline potential future research directions an
Abstract: A nonlinear multiresolution-packets is presented. The stability and the improvements of th...
Abstract: This paper deals with two popular and powerful methods in noise and harmonic detection fie...
In this dissertation, feature extraction algorithms have been developed for extraction of characteri...
Abstract. The existence of the harmonic seriously influences the quality of the power grid electrici...
In this thesis we proposed two methods; the first one is used to treat the problem of blind source s...
The fast Fourier transform (FFT) algorithm with window interpolation is the most commonly used and m...
In this thesis, Blind Source Separation is studied in the context of both instantaneous and convolut...
This paper develops an approach based on wavelet technique for the estimation of harmonic presents i...
The blind source separation problem is to extract the underlying source signals from a set of their ...
Algorithms for blind source separation have been extensively studied in the last years. This paper p...
This paper used the gradient blind signal separation algorithm to carry out the electrical power sys...
The blind source separation problem is to extract the underlying source signals from a set of linear...
We consider a problem of blind source separation from a set of instan taneous linear mixtures, wher...
This paper develops new theory and algorithms to recover signals that are approximately sparse in so...
The blind source separation problem is to extract the underlying source signals from a set of linea...
Abstract: A nonlinear multiresolution-packets is presented. The stability and the improvements of th...
Abstract: This paper deals with two popular and powerful methods in noise and harmonic detection fie...
In this dissertation, feature extraction algorithms have been developed for extraction of characteri...
Abstract. The existence of the harmonic seriously influences the quality of the power grid electrici...
In this thesis we proposed two methods; the first one is used to treat the problem of blind source s...
The fast Fourier transform (FFT) algorithm with window interpolation is the most commonly used and m...
In this thesis, Blind Source Separation is studied in the context of both instantaneous and convolut...
This paper develops an approach based on wavelet technique for the estimation of harmonic presents i...
The blind source separation problem is to extract the underlying source signals from a set of their ...
Algorithms for blind source separation have been extensively studied in the last years. This paper p...
This paper used the gradient blind signal separation algorithm to carry out the electrical power sys...
The blind source separation problem is to extract the underlying source signals from a set of linear...
We consider a problem of blind source separation from a set of instan taneous linear mixtures, wher...
This paper develops new theory and algorithms to recover signals that are approximately sparse in so...
The blind source separation problem is to extract the underlying source signals from a set of linea...
Abstract: A nonlinear multiresolution-packets is presented. The stability and the improvements of th...
Abstract: This paper deals with two popular and powerful methods in noise and harmonic detection fie...
In this dissertation, feature extraction algorithms have been developed for extraction of characteri...