A novel semiblind defocused image deconvolution technique is proposed, which is based on multivariate local polynomial regression MLPR and iterative Wiener filtering IWF . In this technique, firstly a multivariate local polynomial regression model is trained in wavelet domain to estimate defocus parameter. After obtaining the point spread function PSF parameter, iterative wiener filter is adopt...

In this paper, a model-based approach to pel-recursive motion estimation is presented. The derivation of the algorithm is similar to the Wiener-based pel-recursive motion estimation algorithm. However, the proposed algorithm utilizes the spatiotemporal correlations in an image sequence by considering an autoregressive model for the motion compensated frames. Therefore, depending on the support ...

At present, many cloud services are managed by using open source software, such as OpenStack and Eucalyptus, because of the unification management of data, cost reduction, quick delivery and work savings. The operation phase of cloud computing has a unique feature, such as the provisioning processes, the network-based operation and the diversity of data, because the operation phase of cloud com...

In this paper, the robustness of a typical control scheme for Wiener systems is studied. These systems consist of the cascade connection of a linear time invariant system and a static nonlinearity. To control this kind of systems, several approaches were discussed in the literature. Most of these control schemes involve transformation of the measured variable as well as the setpoint, by the inv...

In this article, we present a complex baseband model for a wideband power amplifier that incorporates carrier frequency dependent amplitude modulation (AM) and phase modulation (PM) (i.e., AM/AM and AM/PM) characteristics in the design process. The structure used to implement the amplifier model is a Wiener system which accounts for memory effects caused by the frequency selective nature of the...

The non-stationary Poisson noise in single photon emission computed tomography (SPECT) sinogram is a major cause to compromise the quality of reconstructed images and challenge any compensation strategy for photon attenuation, scatter and collimator response. Research utilizing threedimensional Wiener filter after Anscombe transformation, which converts Poisson distributed noise into Gaussian d...

In this paper a new method for noise removal from singletrial event-related potentials recorded with a multi-channel electroencephalogram is addressed. An observed signal is separated into multiple signals with a multi-channel Wiener filter whose coefficients are estimated based on parameter estimation of a probabilistic generative model that locally models the amplitude of each separated signa...

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For a connected graph G and an non-empty set S ⊆ V (G), the Steiner distance dG(S) among the vertices of S is defined as the minimum size among all connected subgraphs whose vertex sets contain S. This concept represents a natural generalization of the concept of classical graph distance. Recently, the Steiner Wiener index of a graph was introduced by replacing the classical graph distance used...