The present paper addresses the question of the efficiency of Independent Component Analysis (ICA) as a statistical process for deriving optimal representational bases for the projection of spectrum and cepstrum in the context of Automatic Speech Recognition (ASR). Several decorrelation strategies have been applied on the log-spectrum and cepstrum to fulfill the practical need of a diagonal cov...

detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (wsns). to address the problem of outlier detection in wireless sensor networks, in this paper we present a pca-based centralized approach and a dpca-based distributed energy-efficient approach for detecting outliers in sensed data in a wsn. the outliers in sensed data can be ca...

background: we examined epidemiological aspects of dynamic changes in incidence of ovarian cancer in women of kazakh and russian nationalities in kazakhstan. methods: the material of investigation was primary data on registered patients with malignant ovarian tumors in the whole country. the study was conducted during the period of 1999-2009. evaluation of changes in ovarian cancer incidence in...

linseed is an important oilseed and fibre crop predominantly grown in india. the aim of the present research was to evaluate genetic diversity and patterns of relationships among the 58 genotypes through 10 morphological traits and 12 polymorphic microsatellite (ssr) markers. euclidean analysis of agro-morphological traits grouped the 58 genotypes into four clusters of which cluster i was the l...

Indexing terms: Adaptive signal processing, independent component analysis, adaptive noise cancelling A method for adaptive noise cancelling based on independent component analysis (ICA) is presented. Although conventional least-mean-squares (LMS) algorithm removes noise components based on second-order correlation, the proposed algorithm can utilize higher-order statistics. Experimental result...

An understanding of the statistical properties of natural images is useful for any kind of processing to be performed on them. Natural image statistics are, however, in many ways as complex as the world which they depict. Fortunately, the dominant low-level statistics of images are sufficient for many different image processing goals. A lot of research has been devoted to second order statistic...

selecting within local pomegranate accessions is the main method used to identify new cultivars. total of 76 pomegranate accessions from hatay, turkey, were collected and their morpho-pomological and chemical characteristics were determined. the results showed that there was significant diversity among the accessions in terms of fruit quality parameters. several accessions were notable for thei...

the purpose of this research study is to check the overall job satisfaction associate with demographic factors: gender, age, ethnicity, civil status, experience, educational qualification, bank types and distance to working place in ampara region, sri lanka government and private bank employees. overall job satisfaction can be measured through the ability utilization, motivation, social status,...