The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a robust seal imprint verification method with rotation invariance. The rotation invariant feature is represented by the absolute value of Fourier coefficients of log-polar image of seal imprint on circles with different radii. Firstly, the feature vector of a seal imprint is defined by the above absolute value of Fourier coefficients of the log-polar image. Secondly, the feature...
We use an optimization technique to accurately locate a distorted grid structure in a microarray image. By assuming that spot centers deviate smoothly from a checkerboard grid structure, we show that the process of gridding spot centers can be formulated as a constrained optimization problem. The constraint is equal to the variations of the transform parameter. We demonstrate the accuracy of our algorithm...
Using EEG signals to estimate cognitive state has drawn increasing attention in recently years, especially in the context of brain-computer interface (BCI) design. However, this goal is extremely difficult because, in addition to the complex relationships between the cognitive state and EEG signals that yields the non-stationarity of the features extracted from EEG signals, there are artefacts introduced...
Analysis of EEG activity usually raises the problem of differentiating between genuine EEG activity and that which is introduced through a variety of external influence. These artifacts may affect the outcome of the EEG recording. In this paper, wavelet denoising and band pass filter for preprocessing and a robustprincipal component analysis algorithm for extraction are proposed to remove the artifacts...
Vehicle identification and traffic accident detection plays an important role in the Intelligent Transportation System. Vehicle image segmentation is the key technological foundation for further identification and detection processing. This article improves the inadequacy of Fuzzy C-Means (FCM) clustering algorithm by proposing the Spatial Constrained FCM (SCFCM) algorithm. Firstly, the each pixel's...
Txfonts In micro-electro-mechanical system based inertial navigation system (MEMS-INS)/global positioning system (GPS) integrated navigation systems, there exist unknown disturbances. This paper deals with the problem of adaptive robust estimation (ARE) to obtain high estimation accuracy. A filter gain matrix is designed to obtain the adaptive robust algorithm, in which the H∞ norm of the transfer...
High-Order Co-Clustering (HOCC) methods have attracted high attention in recent years because of their ability to cluster multiple types of objects simultaneously using all available information. During the clustering process, HOCC methods exploit object co-occurrence information, i.e., inter-type relationships amongst different types of objects as well as object affinity information, i.e., intra-type...
A fuzzy-based magnetic suspension vibrator (FMSV) is designed and embedded into electrical wheelchair to promote its shock absorbing ability. Magnetic levitation system (MLS), using the electromagnetic force to float, rotate or move a suspended object, is a non-contact operation mode. This mode can effectively reduce the mechanical vibrations, friction and wearing loss caused by contact operation...
Volatility of the stock price is the key to the pricing problem of stock related derivatives in finance. Volatility appears in the diffusion term of the usual modeling of stock prices. One popular approach is to take volatility to be stochastic, and assumes that it satisfies a stochastic differential equation. Taking the stock price to be the observation, we may then pose the filtering problem of...
The state of the art in digital watermarking of visual data is briefly reviewed. A communication perspective is adopted to identify the main issues in digital watermarking and to present the most common solutions adopted by the research community. We first consider the various approaches to watermark embedding and hiding. The communication channel is then taken into account, and the main research...
This paper proposes a new semi-analytic robust mixed H2/H-infinity design method for fixed-structure controllers. Precisely, the method consists in determining the parameters of a controller with given structure such that it minimizes the influence of a step load disturbance to the process output with respect to robustness constraints, i.e. constraints on maximum amplification of measurement noise,...
In this paper, we propose a set-valued filtering algorithm for non-linear discrete-time systems. At each step, the algorithm computes an ellipsoid of minimal size that guarantees to contain the true state of the system, despite the noise affecting the system and taking into explicit consideration the linearization error. The filter is based on a two-step prediction-correction structure, each step...
This paper addresses the problem of multiuser detection in multipath fading code-division multiple-access (CDMA) channels with non-Gaussian noise. A robust multipath decorrelator is proposed to mitigate the multiple-access interference and the multipath interference, and to ameliorate non-Gaussian ambient noise. The performance of the proposed multiuser detector is assessed via computer simulations...
In this paper we review threshold-based algorithms for detection of impulsive noise in audio signals, and propose a new detection strategy that can increase their capability to detect impulsive disturbances without any remarkable increase in computational complexity. The main features addressed by this paper are the use of two thresholds, one for detection and the other for estimation of impulse durations;...
This paper proposes the use of robust discrete wavelet transform (RDWT) as a solution to a signal processing problem of to detect transient features in the sound recordings that contain interference as well as multipaths. The discrete wavelet transform (DWT) was used to detect signal in the underwater. In underwater and a multipaths environment where numbers signal components arrive with arbitrary...
This paper illustrates a stochastic Model Predictive Control (MPC) algorithm to control a linear system subject to additive zero-mean noise, state and input constraints. The algorithm proposed is computationally efficient since it can be formulated as a SemiDefinite Programming (SDP) problem and can thus be solved by interior-point methods. We also show that, under the hypotesis of bounded noise,...
Algorithms for Robust Fault Detection and Identification (RFDI) in dynamic systems strive to be sensitive to faults in plant components, while being insensitive to plant and noise model uncertainties. In the field of signal detection with applications such as radar and medical images, sensitivity to signals of interest is also an objective, while robustness is concerned with undesirable interferences...
This paper is concerned with the problem of fault diagnosis for a class of bilinear stochastic systems with unknown disturbances. At first, the filter with restricted structure is designed so that the unknown disturbances are decoupled from the residual and the effects of process and measurement noises to the residual are minimized. The filter design with general structure is also discussed. The chi-squared...
An arbitrary-order finite-time-convergent exact robust differentiator is constructed based on higher-order sliding mode (HOSM) technique. Being used in a feedback together with previously proposed HOSM controllers, it produces a universal controller, formulated in input-output terms only, which causes the output of any uncertain smooth SISO minimum-phase dynamic system with known relative degree to...
We consider the problem of estimating the position of an object moving in the space by observing its image with the aid of a CCD camera. The problem can be converted into the observation of a dynamical system with nonlinearities. A new method is proposed to identify the obtained dynamical system. The attraction of the new method is that the algorithm is very simple and easy to be implemented, and...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.