In this paper, we propose a nonparametric rank-based alternative to the least-squares independent component analysis algorithm developed. The basic idea is to estimate the squared-loss mutual information, which used as the objective function of the algorithm, based on its copula density version. Therefore, no marginal densities have to be estimated. We provide empirical evaluation of th...

Recently, the approaches based on source separation are increasingly adopted for the fault diagnosis in several industrial applications. In particular, Independent Component Analysis (ICA) method is attractive, thanks to its simplicity of implementation. In the context of electrical rotating machinery with a variable speed, namely the wind turbine type, the interaction between the electrical an...

Abstract — Voice plays a vital role in distant communications like video conferencing, teleconferencing and hands free mobile conversion etc. Here, the quality of speech is degraded by the Cocktail party problem. Cocktail party problem is described as combination of various sources of speech signal received by a microphone. Solution for the above problem can be obtained by using Independent com...

This paper presents a novel block adaptive Independent Component Analysis (ICA) algorithm based on the conjugate gradient method. The algorithm is suitable for application in dynamic environments. Simulation results employing the proposed method for interference rejection in wireless receivers are given. It is shown that the new algorithm outperforms the FastICA algorithm under dynamic conditio...

Independent Subspace Analysis (ISA; Hyvarinen & Hoyer, 2000) is an extension of ICA. In ISA, the components are divided into subspaces and components in different subspaces are assumed independent, whereas components in the same subspace have dependencies.In this paper we describe a fixed-point algorithm for ISA estimation, formulated in analogy to FastICA. In particular we give a proof of the ...

In recent years, access to multimedia data has become much easier due to rapid growth of the internet. While this is usually considered an improvement of everyday life, it also makes unauthorized copying and distributing of multimedia data much easier, therefore presenting a field of watermarking.Many literatures have reported about Discrete Wavelet Transform (DWT) based watermarking for data s...

The increasing requirement of classification categories is followed by the increasing probabilities of wrong classification and the decreasing classification speed. If we can separate certain types of pixels out in advance, and then classify the remaining pixels, we can reduce the probabilities of mistakes effectively. This paper proposed an improved Fast Independent Component Analysis (ICA) ba...

Independent component analysis is a challenging problem in the area of unsupervised adaptive filtering. Recently, there has been an increasing interest in using geometric optimisation for adaptive filtering. The performance of ICA algorithms significantly depends on the choice of the contrast function and the optimisation algorithm used in obtaining the demixing matrix. In this paper we focus o...

background: fetal electrocardiography is a developing field that provides valuable information on the fetal health during pregnancy. by early diagnosis and treatment of fetal heart problems, more survival chance is given to the infant. objective: here, we extract fetal ecg from maternal abdominal recordings and detect r-peaks in order to recognize fetal heart rate. on the next step, we find a b...