The aim of this study is to determine the relationship between early maladaptive schemas, individuation, childhood and adulthood separation anxiety. sample was consisted 400 emerging adults, 265 (66.3%) women 135 (33.8%) men, determined according definition so ages partipants are 18-25. Sociodemographic Information Form, Young Schema Questionnaire-Short Form 3 (YSQ-SF3), Separation Anxiety Symp...

In this paper, we propose two versions of a correlation-based blind source separation (BSS) method. Whereas its basic version operates in the time domain, its extended form is based on the timefrequency (TF) representations of the observed signals and thus applies to much more general conditions. The latter approach consists in identifying the columns of the (permuted scaled) mixing matrix in T...

Blind signal separation (BSS) and independent component analysis (ICA) are emerging techniques of array processing and data analysis, 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...

In this paper, we describe a new blind source separation (BSS) method that uses spatial information derived from the direction of arrival (DOA) estimates of each direct and reflected sound. The method we proposed has the following steps: (1) each DOA is estimated using matching pursuit and re-optimized after each new DOA is estimated, (2) using these DOA estimates, the mixing matrix is also est...

The blind source separation problem (BSS) consists in extracting uncorrelated sources from an observed linear mixture. The rationale behind BSS is to reconstruct correctly the waveform of the signals allowing arbitrariness of their sign, order and energy. Known closed-from solutions succeed by relying on specific assumptions about the source distributional form. For more complex signal, such as...

Blind Source Separation (BSS) is a prominent problem in signal processing. In the past few decades, it was applied to many fields, in which separation of compound signals, simultaneously observed by different sensors, is of interest. The problem can be considered as built-up of three physical elements: sources (also called transmitters), sensors (also called receivers) and communication channel...

We discuss overcomplete blind source separation (BSS), that is separation with more sources than sensors. Finding the mixing matrix solves the linear quadratic BSS problem; in overcomplete BSS however, it is then still not clear and not even unique how to get the sources from the mixtures and the mixing matrix. We therefore follow Bofill and Zibulevsky in [5] and many others and take a two-step...

Blind source separation (BSS) for convolutive mixtures can be performed efficiently in the frequency domain, where independent component analysis (ICA) is applied separately in each frequency bin. However, frequencydomain BSS involves two major problems that must be solved. The first is the permutation problem: the permutation ambiguity of ICA should be aligned so that a separated signal in the...

In Different Fields, The Problem Of Blind Source Separation (BSS) Is Known As A Collection Of Linear Combinations Of Unknown Sources And Worse The Coefficients Of The Linear Combinations That Are Unknown. The Main Problem Is To Estimate The Matrix Of The Combination Coefficients (Mixing Matrix) And To Reconstruct The Sources According To It. The Quality Of Separation Of Sources From Mixtures Dr...

Canine and feline anxiety disorders are a considerable problem for owners, and the veterinarians they look to for help. Many owners consider their veterinarian to be an important resource when faced with a behavior problem such as anxiety. The impact of anxiety disorders in pets is also evident in the variety of treatment products designed to address the problem. Two of the three FDA approved m...