the record of human brain neural activities, namely electroencephalogram (eeg), is generally known as a non-stationary and nonlinear signal. in many applications, it is useful to divide the eegs into segments within which the signals can be considered stationary. combination of empirical mode decomposition (emd) and hilbert transform, called hilbert-huang transform (hht), is a new and powerful ...

One of the most striking pieces of evidence in attachment research is that attachment security is transmitted from 1 generation to the next. Although there has been an enormous advance in the understanding of this process, this area of research suffers from some significant gaps, as for example the transmission across 3 generations when considering the 2 parents as well as the 2 couples of gran...

In Dörnyei’s (2009a) theorizing, motivation is conceptualized to be generated by discomfort associated with the learner’s experience of a discrepancy between their current L2 self, and their ideal L2 self. However, in the L2 Motivational Self System, this discrepancy is not operationalized. A questionnaire containing measures of current L2 selves was administered to two cohorts of students lear...

In this paper the need for employing a data reduction algorithm in using digital graphic systems to display biomedical signals is firstly addressed and then, some such algorithms are compared from different points of view (such as complexity, real time feasibility, etc.). Subsequently, it is concluded that Turning Point algorithm can be a suitable one for real time implementation on a microproc...

Grid impedance estimation is used in many power system applications such as grid connected renewable energy systems and power quality analysis of smart grids. The grid impedance estimation techniques based on signal injection uses Ohm’s law for the estimation. In these methods, one or several signal(s) is (are) injected to Point of Common Coupling (PCC). Then the current through and voltage of ...

In this paper, unique approach is presented for the electroencephalography (EEG) signals analysis. This is based on Eigen values distribution of a matrix which is called as scaled Hankel matrix. This gives us a way to find out the number of Eigen values essential for noise reduction and extraction of signal in singular spectrum analysis. This paper gives us an approach to classify the EEG signa...

In this paper, we propose a new partition-based filter for removing mixed high probability impulse and Gaussian noises by extraction of the signals. The proposed filter sorts the elements of sample vector and extracts the signals around the median from sorted signals. The extraction vector is classified into one of M partitions, and a particular filtering operation is then activated. The output...

The January issue of the Social Security Bulletin carried a full description of the statistical program established to record and maintain data on the utilization and charges for m‘edical care services covered under the health insurarxe program for the aged. The statistical system ‘is based on the receipt by the Social Security Administration of bills presented fo nnd paid by fiscal intermediar...