نتایج جستجو برای: linear transfer function
تعداد نتایج: 1865370 فیلتر نتایج به سال:
First the structure function of the many fermion systems is written in terms of the fluctuation of the target density and too the value of this function at very small momentum transfer is calculated. It is shown that the values of the structure function of these systems at very small momentum transfer calculated from two different ways which one is the mathematical straight way and other way is...
This paper deals with the real-time implementation of the IIR lters having linear phase. Powell and Chau have devised an e cient method for the design and realization of real-time linear phase IIR lters using suitable modi cations of the well-known time reversing technique. In their method, the input signal is divided into L-sample segments, time-reversed, and twice ltered using two IIR lter bl...
The quality of a 3D volume visualization heavily depends on a representative transfer function which is responsible for mapping the original density values to color and opacity. Finding a suitable transfer function is often a tedious task if done manually in a trial-and-error fashion by specifying piecewise linear functions for each color and opacity channel. Contrary, image-based models explor...
The optical transfer function (OTF), as an objective measure of the quality of optical and electro-optical systems, is closely related to the point spread function (PSF) and other derived characteristics, such as the modulation transfer function (MTF) and the phase transfer function (PTF). The paper focused to the use a generalized OTF, which is primarily dedicated to the description of linear ...
We consider the characterization and computation of H-infinity norms for a class of time-delay systems. It is well known that in the finite dimensional case the H-infinity norm of a transfer function can be computed using the connections between the corresponding singular value curves and the imaginary axis eigenvalues of a Hamil-tonian matrix, leading to the established level set methods. We s...
Background: Ensuring adequate depth of anesthesia during surgery is essential for anesthesiologists to prevent the occurrence of unwanted alertness during surgery or failure to return to consciousness. Since the purpose of using anesthetics is to affect the central nervous system, brain signal processing such as electroencephalography (EEG) can be used to predict different levels of anesthesia....
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