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Combining of nonlocal means and variational models can extend the ability of image processing such as texture image processing. In this paper, an implementation scheme of nonlocal variational models is proposed, which contains discretization, coordinate transformation, and dimension expansion. Firstly, continuous models are transferred to discrete model. Then we transform absolute coordinate to relative...
Array antenna has been utilized in many radio telescope systems, especially for low frequency transient observation, to increase their resolving power. In this paper, a new method to determine the maximum resolving power of an array radio telescope based on the single antenna beamwidth is proposed. The method is derived from theoretical calculations combined with simulations. Statistical result shows...
In this paper, we describe an FPGA system for the real-time processing of Poisson image Editing. Poisson Image Editing is a powerful method to overlay an image on another image seamlessly. In this method, however, a simple equation is repeatedly applied to each pixel, and this repetition makes its computational complexity very high. In our system, a very deep pipeline is used to apply the equation...
A new approach to optimum processing of multi-dimensional data arrays for advanced information technologies and education informatics, using innovative mathematical principle based on the combinatorial configurations expounds in this paper. This approach relates to the optimum arrangement of structural elements in two-or multi-dimensional arrays with respect to minimizing of retrieval capacity, and...
In this letter, a three-dimensional (3D) image reconstruction approach is proposed for terahertz (THz) holographic by a sharply reduced amount of antennas and frequency samples, without reducing the quality of the image reconstruction results. With the obtained 3D sparse random sampling data, a sparse recovery procedure combined by two-dimensional fast Gaussian gridding based non-uniform Fourier transform...
The accuracy of PV array model directly affects the output characteristics of the PV system. In this paper, a simplified engineering model for PV array is established and the influence on the output characteristics of PV array is analyzed when Rs, Rsh and α, β, γ change. According to the actual data of a PV power station, the shuffled frog leaping algorithm (SFLA) is adopted to identify the parameters...
The accuracy of PV array model is very important for grid connected operation and scheduling of large scale PV system. Based on the measured data of a PV power station, the hybrid artificial fish swarm and frog leaping algorithm is adopted to identify the unknown parameters in the mechanism model of PV array. The hybrid algorithm combines the advantages of the fast convergence of artificial fish swarm...
The photovoltaic (PV) array is one of the main components of the PV system, and the accuracy of the PV array model is directly related to the validity of the simulation results. The parameters of the PV array may change with the operation conditions. Therefore, it is important to identify the parameters of the PV array model according to the measured data. In this paper, the conventional four-parameter...
A general methodology of device array mismatch characterization is introduced, analyzed and verified. Instead of measuring each device's parameter individually, the device array is configured as a data converter and the mismatch information is extracted from the differential linearity (DNL) of the converter. Systematic and random mismatch are characterized separately using the proposed decomposition...
In this paper, a systematic approach to finding an optimized switching sequence for a current steering DAC to reduce the static non-linearity is presented. A methodology for calculating the error patterns of a particular process is explained. Also, a novel algorithm is proposed to find an INL bounded optimized switching sequence for any gradient profile which can even compensate for the linear gradient...
The non-uniform distribution of memory accesses among the cache sets results in some sets being used heavily while certain others remaining underutilized. Dynamic associativity management (DAM) is a technique to allow the heavily used sets to distribute their load among the lightly used sets thus improving the overall utilization of the cache. CMP-SVR is a previously proposed DAM based technique,...
In this work, the problem of developing algorithms that automatically infer information about small-scale solar photovoltaic (PV) arrays in high resolution aerial imagery is considered. Such algorithms potentially offer a faster and cheaper solution to collecting small-scale PV information, such as their location and capacity. Existing work on this topic has focused on the automatic identification...
A method to extract an equivalent array of dipole-moments model from only the magnitude data of near-field scan is proposed. The method can extract both magnitude and phases of the equivalent dipole-moments by using the nonlinear least square (NLS) method, although the information used for source modeling is limited to only the field magnitudes. The truncated singular-value decomposition (SVD) method...
Signal processing methods based on blind source separation (BSS) have been successfully applied to deal with the interference problem in ion-selective electrode (ISE) arrays. So far, the development of BSS methods to ISE arrays strongly relied on the Nicolsky-Eisenman (NE) model. Since this model provides a rough approximation in certain situations, the present paper aims at improving the existing...
Ambient Noise Seismic Imaging (ANSI) is a recently developed geophysical methodology to image the shallow subsurface structures of earth using ambient/environment noise as the source. Integrating ANSI computing within distributed sensor networks will enable real-time continuous monitoring of subsurface dynamics for sustainability studies. However, the research challenges associated with this innovative...
The particle-in-cell (PIC) numerical technique is frequently used in physics and engineering simulations. In this work, we describe ES-PIC, a new shared-memory parallel implementation of the PIC technique for electrospray simulations. Electrospray simulations are used in aerospace applications, and the goal of an electrospray simulation is to understand behavior of an electrospray thruster or a colloid...
For critical aerospace applications that experience a high intensity of single event upsets, the cache of a processor has to be protected against soft errors. This poses a challenge for cache design, since implemented redundancy causes timing and performance degradation of a processor. Sound design decisions should be made based on evaluations at every design stage. In this paper we present a platform-oriented...
Static timing analysis is crucial for design of realtime systems. While the worst-case execution time of a task is typically computed or measured in a single task environment, the presence of caches imposes additional cache related preemption delay (CRPD) cost to the lower priority tasks in a preemptive multi-tasking system. In this work, we show that existing instruction CRPD analysis techniques...
Experiment· were conducted to measure the response characteristic· of a detector system consisting of an array of two electromagnetic pulse induction tensor·. Laboratory data for three object : (1)a ıteel sphere (2) a steel prolate spheroid and (3) an 81 mm mortar casing are presented in order to discuss how the response of an object varies with its depth, orientation and lateral offset from coil...
A fast iterative method based on projection onto Krylov subspaces has been proposed for Radio Astronomical (RA) image reconstruction from telescope array measurements. The image formation problem is formulated as a linear least squares (LS) estimation problem by discretizing the Field of View (FoV) of the telescope array into a number of pixels. The ill-posed imaging problem is regularized by the...
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