The recent paper (Cheung 2001) has studied the blind identification of Gaussian source process through a general temporal independent component analysis (ICA) approach named dual autoregressive modelling. It is actually a temporal extension of the classical principal component analysis without considering the principal order of the components. In this paper, we will further show the identifiabl...

Background: Infantile obesity is becoming increasingly recognized as one of the public health problems in Iran. Objective: Obesity charts of a cohort of 317 healthy infants and their parents living in Shiraz (Southern Iran) are presented and the familial pattern of infants’ obesity with that of its parents explored. Methods: An adjusted weight-for-height index was used to develop power type obe...

background: the objective of this study is to establish raman signatures from pure cultures of different candida species using raman spectroscopy (rs) and use these signatures for rapid identification of unknown candida species. methods: pure cultures of five candida species were evaluated using rs to build a limited signature library. ‘raman processing’ (rp) software was used for principal com...

The goal of speech enhancement varies according to specific applications, such as to reduce listener fatigue, to boost the overall speech quality, to increase intelligibility, and to improve the performance of the voice communication device. This paper presents Multiscale principal component analysis (MSPCA) for denoising of single channel speech signal. Principle Component Analysis (PCA) is a ...

In recent decades, decomposition techniques have enabled increasingly more applications for dimension reduction, as well as extraction of additional information from geophysical time series. Traditionally, the principal component analysis (PCA)/empirical orthogonal function (EOF) method and more recently the independent component analysis (ICA) have been applied to extract, statistical orthogon...

This article introduces a method for objectively separating and validating forecast scenarios within a large multimodel ensemble for the medium-range (3–7 day) forecasts of extratropical cyclones impacting the U.S. East Coast. The method applies fuzzy clustering to the principal components (PCs) of empirical orthogonal function (EOF) analysis on mean sea level pressure (MSLP) from a 90-member c...

University of Tehran administers a test known as The University of Tehran English Proficiency Test (the UTEPT) to PhD candidates on a yearly basis. By definition, the test can be considered a high-stakes one. The validity of high stakes tests needs to be known (Roever, 2001). As Mesick (1988) maintains, if the validity of high stakes tests are not known, it might have some undesirable consequen...

With the increasing of non-linear, burst or un-balanced load, power quality issues in the grid is becoming important. With more power quality monitors installed with higher sampling rates, an expanded size of power quality data brings difficulty to storage, transmission and analysis. In this paper, principal component analysis (PCA), which is a popular feature extraction algorithm in pattern re...