Separation anxiety disorder (SAD) is the most commonly diagnosed and impairing childhood anxiety disorder. Given that SAD symptoms in early childhood have been linked to later psychopathology, early identification and treatment of it is critical. The aim of the present study was the examination of validity and reliability of separation anxiety assessment scale-parent version (SAAS-P) (Hahn, Haj...

The problem of the blind signal separation (BSS) consists of estimating the latent component signals in a linear mixture, referred to as the sources, starting from several observed signals, without relying on any specific knowledge of the sources. In particular, when the sources are audible, this problem is known as to the cocktail-party problem, making reference to the ability of the human ear...

We present a quasi-maximum likelihood approach to blind source separation (BSS) which is based on approximating the source distributions by their truncated Edgeworth expansions. The paper focuses on the 22 case, for which the problem is known to reduce to the estimation of a single rotation angle. Unlike existing maximum likelihood BSS techniques , the proposed algorithm is consistent for any s...

In this paper, we propose a new method for evaluating the separation and dereverberation performance of a convolutive blind source separation (BSS) system, and investigate a separating system obtained by employing frequency domain BSS based on independent component analysis (ICA). As a result, we reveal the acoustical characteristics of the frequency domain BSS for convolutive mixture of speech...

INTRODUCTION In a previous paper, that on "Separation Anxiety" (1960), I sketched briefly the sequence of responses to be observed when young children are removed from their mothers and placed with strangers. After delineating the three phases—Protest, Despair, Detachment3—I pointed out that "the phase of Protest raises the problem of separation anxiety; Despair that of grief and mourning; Deta...

Blind signal separation (BSS) is an emerging signal processing technique, aiming at recovering unobserved signals or`sources' from observed mixtures (typically, the output of an array of sensors), exploiting only the assumption of mutual independence between the signals. The weakness of the assumptions makes it a powerful approach but requires to venture beyond familiar second order statistics....

introduction chronic obstructive pulmonary disease (copd) is a chronic disorder with many systematic complications and one of the most important reasons for patients to require mechanical ventilation, admission in intensive care unit and prolonged mechanical ventilation. although the first attempt in separation of mechanical ventilation is failed in half of chronic obstructive pulmonary disease...

Despite several recent proposals to achieve Blind Source Separation (BSS) for realistic acoustic signals, the separation performance is still not enough. In particular, when the length of an impulse response is long, the performance is highly limited. In this paper, we consider the reason for the poor performance of BSS in a long reverberation environment. First, we show that it is useless to b...

In this paper we introduce a definition of gradation of continuity ingraded fuzzy topological spaces and study its various characteristic properties.The impact of the grade of continuity of mappings over the N-compactnessgrade is examined. Concept of gradation is also introduced in openness, closed-ness, homeomorphic properties of mappings and T2 separation axiom. Effectof the grades interrelat...