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For a large class of switched systems with zeno phenomenon, classical observer cannot be applied directly since the terms leading to zeno phenomenon are not derivable. However in this paper, by assuming that these terms are integrable in the less restrictive way, we can define a new output, with which algebraic observer can then be adopted to estimate the states of the studied switched systems with...
In semiconductor manufacturing processes, mixed-products are usually fabricated on the same set of process tool with different recipes. Run-to-run controllers which based on the exponential weighted moving average (EWMA) statistic are probably the most frequently used in industry for the quality control of certain semiconductor manufacturing process steps. However, for mixed-product drifting process,...
Geophysics' complexity and uncertainty, and interfering with a variety of humanities, which made the gaining first-hand information from the field in the process of data acquisition is often severely disrupted. The solution in the geophysical inversion would be many solutions or distortion, which is the geophysical ill-posed problem. Ill-posed problems could be attributed to the First Class of Operator...
It is common for libraries to provide public access to historical and ancient document image collections. Such document images to require specialized processing in order to remove background noise and become more legible. In this paper the proposed approach is adapted from the kavallieratov's algorithm for cleaning background noise from the ancient documents by iterative global thresholding and local...
For the multisensor linear discrete time-invariant systems with correlated measurement noises and with different measurement matrices, based on weighted least squares (WLS) method, applying orthogonal transformation, two weighted measurement fusion Kalman filtering algorithms are presented. Using information filter, it is proved that they are functionally equivalent to the centralized fusion Kalman...
In today's world, increasing life expectation have made the heart failures of important concern. For clinical diagnosis, parameters for the condition of heart are needed. Accurate and fast image segmentation algorithms are of paramount importance prior to the calculation of these parameters. An automatic method for segmenting the cardiac magnetic resonance (CMR) images is always desired to increase...
This paper investigates the development of Fault Detection and Isolation (FDI) filters for linear impulsive systems. The concept of an unobservability subspace is introduced for linear impulsive systems and an algorithm for its construction is described. The necessary and sufficient conditions for solvability of the fundamental problem of residual generation (FPRG) for linear impulsive systems are...
In this paper, a novel class of normal realizations for discrete-time systems is derived and characterized. It is shown that these realizations are free of self-sustained oscillations and yield a minimal error propagation gain. The optimal realization problem, defined as to find those normal realizations that minimize roundoff noise gain, is solved analytically. Based on Schur-form, a procedure is...
Two-level quantum systems are important quantum models that are useful for the conceptual development and construction of quantum technologies. In this paper we provide measurement feedback controllers for the regulation of two-level systems to pure states in the xz qubit plane, and the tracking control with respect to a class of reference signals.
A 2D-stochastic realization is obtained for an homogeneous discrete Gaussian Markov-field in two dimensions. In specific, it is shown that the Markov field at issue can be represented as the (unique) pathwise solution of a stochastic system in two dimension, whose input is a locally-correlated `forcing-noise'. The result is obtained for Markov-fields `living' on a spheric domain, which allows to simplify...
Template matching is used for many applications in image processing. Cross correlation is the basic statistical approach to image registration. It is used for template matching or pattern recognition. Template can be considered a sub-image from the reference image, and the image can be considered as a sensed image. The objective is to establish the correspondence between the reference image and sensed...
Image denoising is one of important steps in a number of image processing applications. However, available methods mainly present by conducting filter of restoration on whole observation image, resulting in many image detail information have been lost. So, how to obtain the balance of remove noises from the smooth regions and preserved more image detail at high frequency regions have still worth to...
Localization play a key role in location based services such as parking assistance, location dependent advertising, people tracking, security management, etc. Usually, mobile users are the driving force of those applications and the third dimension plays an important role on the functionality of the system. Accurate localization in three dimensional space requires fast and robust algorithms. The widely...
3D reconstruction based on high-level features, such as line and plane, is an important development trend in Digital Photogrammetry and Computer Vision. A novel method for extracting stratight line is presented, which can be illustrated as follows. Firstly, image is preprocessed by Wallis filtering that is used to enhance the image contrast and reduce the noise, so it is easy to extract more lines...
Topic description is as important as topic detection. In this paper, we propose a novel method to describe Web topics with topic words. Under the assumption that representative words exist in important sentences and have high probability of occurrence with other representative words, two graphs are built, one of which represents the relationship for sentences, the other for words. Considering a topic...
A method based on rotate-angle accumulation is presented to detect the corner points on digital curve. By constructing a rotate-angle accumulation curve and its curvature waves, the intersections points are detected firstly, then the rotate-angle accumulation curve which doesn't include intersection point is segmented to fit in straight line through the curvature waves, lastly the tangent points are...
Random walk method has recently been proposed in signal integrity analysis such as power grid noise analysis. This paper proposes techniques to apply random walk method to signal noise analysis for the data path circuit containing non-linear buffers and coupling capacitors. In order to fix output voltages and currents of non-linear buffer outputs, relaxation process is employed. To analyze coupling...
We put forward a new piecewise-linear stochastic resonance(SR) model for detecting the weak signal under the strong noise background for the large parameter case. Parameters of this piecewise-linear stochastic resonance system are less correlated than those of the traditional continuous nonlinear bistable system, so that it is much easier to adjust the response characteristic of this system and generate...
Resource allocation is an important issue in cognitive radio systems. It can be done by carrying out negotiation among secondary users. However, significant overhead may be incurred by the negotiation since the negotiation needs to be done frequently due to the rapid change of primary users' activity. In this paper, a channel selection scheme without negotiation is considered for multi-user and multi-channel...
The cross-range measurement of a target from Interferometric ISAR (InISAR) can usually be obtained from the interferometric phase of echo. However, the phase which has been received is often ambiguous and the reference point on the target used for phase unwrapping with determined location does not really exist, as a result of which, the accurate value of interferometric phase can not be got easily...
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