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Image edge detection is one of the most important foundations of image analysis and comprehension. Traditional edge detectors are not robust enough to illumination variations. In last decade, detector based on Phase Congruency (PC) model was proposed and invariant to illumination variations. In this paper, we introduce the quaternion Wavelet Transform to PC model and propose a new edge metric of quaternion...
A very simple power supply rejection ratio (PSRR) enhancement technique is presented. It is suitable, among others, for low voltage power low power (LVLP) DC circuits such as biasing circuits. It is shown that a high insensitivity to AC noise in supply rails can be achieved with an almost zero contribution to the total internal noise. This is achieved at the expense of very small additional circuitry...
A stochastic approximation with averaging is applied to a consensus algorithm for multi-agent systems and the convergence of the algorithm is analyzed. The consensus is considered with respect to the time average of the states of agents. For the fixed network structure and time-varying structure, the relation between the number of iterations of the algorithm and consensus accuracy is explicitly clarified...
The multi-Bernoulli (MB) filter is a new attractive approach for multi-target filtering in the presence of clutter and detection uncertainty. However, the computational complexity grows as clutter density increases. The clutter measurements may also degrade the filtering accuracy. To eliminate the clutter measurements and reduce the computational complexity, gating technique for the Gaussian mixture...
In this paper, we propose a fast and efficient method to extract skin and bone automatically. First, we smooth the images by applying anisotropic diffusion filter to remove noise. Then, the whole body is detected by using thresholding which is set automatically. In addition, we segment the contour of the skin by using morphological operators and connected component labeling (CCL). Finally, we extract...
Classifying human production of phonemes without additional encoding is accomplished at the level of about 77% using a version of reservoir computing. So far this has been accomplished with: (1) artificial data (2) artificial noise (designed to mimic natural noise) (3) natural human data with artificial noise (4) natural human data with its natural noise and variance albeit for certain phonemes. This...
When the number of receivers p is large compared to the sample size n, it has been widely observed that standard inference solutions are no longer efficient. In this paper, we address such high-dimensional issues related to the estimation of the noise variance. Several authors have reported that the classical maximum likelihood estimator of the noise variance tends to have a downward bias and this...
This paper evaluates the performance of recognizing severely distorted license plate numbers in the sense of resolution, illumination, and geometric transformations. The proposed recognition method first estimates degradation parameters from an input image. Next, a set of reference images are transformed using the estimated degradation parameters. The recognized number is then obtained by comparing...
The Qinghai-Tibet Railway, the highest railroad in the world, stretches 1,956 kilometers from Xining to Lhasa in China. Of this ∼2000 km total length about one half of it (∼960 km) is on permafrost subgrades. Frozen earth disaster and other subgrade diseases lead to subgrade instability and affect the security of railway transportation. It is critical to develop a rapid and efficient technique for...
This paper considers aspects of low-frequency noise in the inversion-channel SOI nMOSFET and the buried-channel SOI pMOSFET. Analyses suggest that the inversion channel is strongly influenced by interface traps, which also weakly influence the buried-channel. It is demonstrated that such aspects are significant in the subthreshold bias range.
This paper discusses the parameter and differentiation order identification of continuous fractional order Hammerstein systems in ARX and OE forms. The least squares method is applied to the identification of nonlinear and linear parameters, in which the Grünwald-Letnikov definition and short memory principle are applied to compute the fractional order derivatives. A P-type order learning law is...
Against the variation of plant and the disturbances in the iteration domain, an adaptive iterative learning control strategy in the iteration domain for discrete repetitive processes with non-repetitiveness is proposed. The parameter estimation method and adaptive inverse control scheme are applied. To reduce the adverse impact that made by uncertainty or unknown of plant and eliminate the non-repetitive...
Three-tank System (TTS) is a widely adopted benchmark experimental system for evaluation of the fault detection and diagnosis methods. In this paper, an Internet-based three-tank system constructed in Tsinghua University and the University of South Wales are introduced. Based on this, some recently publicated fault detection and diagnosis results for Internet-based Three-tank System are surveyed,...
The algorithm based on stack to remove the small area noises in binary microalgae image is presented in this paper. The denoising of image is accomplished by using this algorithm through scanning image one time. The new algorithm not only preserves signal's original features, but also has stronger ability to remove noise. The numerical experiments have shown that the algorithm is very effective in...
Strap-down inertial navigation systems are widely applicable in both military and civil industries. The outputs of gyroscope and accelerometer are polluted by noises. Different form the conventional technologies, the weighting filter presented in this work is superior to both the complementary filter and Kalman filter. Furthermore, to eliminate the negative effects brought by the variation of noise...
Because of the positive and inverse piezoelectric effect, piezoelectric materials can be used in the active control of flexible structures. Based on the first-order shear deformation theory, combined with the electrical and mechanical effects, a 4-node quadrilateral piezoelectric composite element is derived, and the dynamic characteristic equation of a composite beam is established by Hamilton's...
In this paper, the extraction for noised saturated sinusoidal signal is proposed for the electro-magnetic coupling sensing system. The method is based on the Least Squares fitting Method to extract the signal amplitude and phase from the saturated sinusoidal signal. According to the extracted amplitude and phase, we can get a sinusoidal signal and remove the sample with lager error by comparing it...
This paper is concerned with the event-triggered consensus control problem for a class of discrete-time stochastic multi-agent systems. The purpose of the problem under consideration is to design both the output feedback controller and the threshold of the triggering condition such that the closed-loop system achieves the desired consensus in probability. By employing a discrete-time version of the...
The reduced-order H∞ filtering problem for nonlinear stochastic systems is studied in this paper. The considered system is subject to state dependent stochastic Gaussian white noise disturbance. By using a different design philosophy and the parallel distributed compensation technique, the fuzzy reduced-order H∞ filter design procedure is transformed into the fuzzy static output feedback controller...
In this paper, in order to solve the dimension problem in over-parameterized method (OPM) and the rank constraint problem in subspace identification method (SIM), The nuclear norm subspace identification method (N2SID) is proposed with a combination of nuclear norm minimization (NNM) and least-parameterized method (LPM). NNM is a heuristic convex relaxation of the rank minimization, and preprocesses...
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