the analytic signal method is a semiautomatic method for estimating the location of causative bodies in magnetic and gravity methods. the application of analytic signal for interpretation of two dimensional (2d) structures was introduced by nabighian (1972). the analytic signal is defined as a complex function in which the real and imaginary parts are a pair of hilbert transforms. in other word...

background: eukaryotic proteins generally have signal peptides, which are not only crucial for their secretion efficiencies but are important for their expression levels. the coagulation factor ix (fix) is a glycoprotein that plays a fundamental role in a blood coagulation pathway. reduced levels or dysfunctional fix are associated with hemophilia b. to improve the hfix secretion efficiency in ...

in this paper, a ground early warning receiver is introduced and explained for the reception and monitoring of signal from a space-borne synthetic aperture radar. this receiver can be used for various electronic warfare applications and implemented in two sectors of time parameter detector and frequency parameter detector. it can measure power, bandwidth, central frequency, pulse width, pulse r...

background: intervertebral disc herniation has two common types, extrusion and protrusion, which may affect the adjacent vertebrae.in addition, it is associated with significant signal changes in t1 mri (short tr/te) and t2 mri (long tr/te).   methods: the present study is a cross-sectional analytic one, in which sampling was performed retrospectively. cases were randomly selected from the pati...

using a new numerical model, the pump-to-signal relative intensity noise (rin) transfer in singlepumpfiber optical parametric amplifiers for low modulation frequencies is investigated. the model includesfiber loss, pump depletion, as well as the gain saturation, and therefore, it can describe the practicalcircumstances associated with various applications of fiber optical parametric amplifiers....

In many signal processing applications, such as EEG analysis, the non-stationary signal is often required to be segmented into small epochs. This is accomplished by drawing the boundaries of signal at time instances where its statistical characteristics, such as amplitude and/or frequency, change. In the proposed method, the original signal is initially decomposed into signals with different fr...

interferon is a protein secreted by eucaryotic cells following stimulation by viruses, bacteria, and many other immunogenes. recent medical studies indicate that interferons have effective role in the treatment of virus infections, immunodeficiency and certain types of cancer such as hairy cell leukaemia (hcl). the aim of the present study is to apply yeast strain for secreting human ifnα2b fol...

the volterra model is widely used for nonlinearity identification in practical applications. in this paper, we employed volterra model to find the nonlinearity relation between electroencephalogram (eeg) signal and the noise that is a novel approach to estimate noise in eeg signal. we show that by employing this method. we can considerably improve the signal to noise ratio by the ratio of at le...

the analytic signal method is usually used to interpret the magnetic and gravity anomalies. the main advantage of using analytic signal method in interpretation of magnetic source parameters from magnetic anomalies is that the amplitude dip of the analytic signal is independent of directional parameters like magnetization and the dip of the source. using the coefficient of the amplitude to esti...

in this paper, genetic programming is applied for quality improvement of noisy speech signal. therefore, a system including both spectral subtraction and genetic programming is implemented for speech enhancement. in the proposed method, first noise is reduced by spectral subtraction. in the next step, genetic programming trees are trained for more enhancement of noisy signal by mapping the sign...