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According to the characters of the motion-blurred images, this paper analyzes its degradation model and gives a method of estimating the direction of motion-blur more accurately which based on spectrum image. First of all, it is necessary to figure out the relationship of the spectrum image's stripe and the blurred direction on the basis of degradation model; after that, we need to pretreat the spectrum...
This paper explores the use of least absolute deviation as an error criterion for certain tracking and jitter control problems. Minimizing an absolute error versus a squared error leads to a nonlinear control problem. We consider a fixed-gain structure that we solve with dynamic programming, as well as an adaptive approach motivated by both recursive least squares and the fixed-gain approach.
The oxygen concentration in the intake manifold of a lean-burn engine is a key variable that is directly related to the quality of combustion. In this paper, an adaptive observer is developed to estimate the intake oxygen concentration in the intake manifold of a lean-burn engine using measurements from existing sensors with minimum computational load. Performance of the observer is evaluated using...
Urea injection system is one of the key devices for urea-SCR aftertreatment technology, since accurate injection determines vehicle exhaust NOx reduction performance. This paper proposes a new diagnostic approach for an SCR urea injection system through the model based estimation of the injected urea mass flow without costing a urea flow sensor. The estimation is based on a urea pump physical model,...
This paper is based on the frequency range characteristics of ship radiated noise. The “Three Highlights” model of the short-distance ship radiated noise is adopted and the possibility of locating and identifying by taking ships as volume targets is discussed. The location algorithm of different parts is discussed here. And based on the completed all-digital processing hardware platform, the time-delay...
In view of the parameters estimation problem of a priori SNR in speech enhancement, a new method in this paper is proposed by adding momentum term. This algorithm maintains the advantages of the direct decision algorithm in effectiveness and briefness, also improves the tracking speed of the instantaneous SNR, therefore it can further suppress the generation of musical noise. Simulation results under...
Distance estimation is fundamental for many functionalities of wireless sensor networks and has been studied intensively in recent years. A critical challenge in distance estimation is handling anisotropic problems in sensor networks. Compared with isotropic networks, anisotropic networks are more intractable in that their properties vary according to the directions of measurement. Anisotropic properties...
Exhaust pressure is a critical engine parameter used to calculate engine volumetric efficiency and EGR flow rate. In this paper, exhaust pressure is estimated for an internal combustion engine equipped with a variable geometry turbocharger. A coordinate transformation is applied to generate a turbine map for estimation of the exhaust pressure. This estimation can be used to replace an expensive pressure...
With the advent of concept of trustworthy networks, discussions on its supporting technologies have become a new focus of research. This paper proposes a new trust mechanism for the routing systems of trustworthy networks. Presently, study of trust is mostly based on the trust of "hard" security. While behavior trust is classified into the category of "soft" security. This paper...
Sensor localization is used by many position dependent applications in wireless sensor networks (WSNs), where ranging from sensor nodes to beacon nodes plays a fundamental role. Most ranging methods rely on the assumption that the deployed WSNs are isotropic, so that adjustment on measured distance is equal in all directions. However, this assumption does not stands in practice. In order to obtain...
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