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The area aerial defense antimissile multi-sensor system always need to assure to accomplish the mission, and try to enshroud itself possibly at the same time. Therefore, the sensor management system must reduce the use of resource furthest on the premise of meeting the tracking precision, especially reduce the initiative-sensor boot-strap time. According to this purpose, we discuss a sensor management...
Location estimation and tracking for the mobile stations have attracted a significant amount of attention in recent years. Moreover, different types of signal sources are considered available to provide the measurement inputs for location estimation and tracking. In this paper, a hybrid unified Kalman tracking (HUKT) technique is proposed to provide an integrated algorithm for precise location tracking...
The unscented Kalman filter (UKF) has become a new technique used in a number of nonlinear estimation problems to overcome the limitation of Taylor series linearization. It uses a deterministic sampling approach known as sigma points to propagate nonlinear systems and has been discussed in many literature. However, a nonlinear smoothing problem has received less attention than the filtering problem...
This paper presents a new form of Kalman filter-the sigmaRho filter-useful for operational implementation in applications where stability and throughput requirements stress traditional implementations. The new mechanization has the benefits of square root filters in both promoting stability and reducing dynamic range of propagated terms. State standard deviations and correlation coefficients are propagated...
The work presented in this paper aims to establish whether a combination of the Logarithm of Likelihood Ratio (LLR), Turbo Codes and Modulation Schemes enhances high and efficient performance in communication systems by minimizing transmission error rates for any given bit combination. Performance Analysis and Interpolation of Turbo codes over Additive White Gaussian Noise and Rayleigh Fading Channels...
Distinctiveness of users in biometric authentication can be limited when multiple samples of a user's biometric information differ due to intra-class variability in the acquisition, thus resulting in random correspondence between users. Most of the currently known methods based on error correcting codes, fuzzy vault have been proposed for protecting biometric data against the intra-class variability...
Image restoration from a degraded observation has been a long standing problem in image processing. It requires a direct inversion of the degradation function in frequency domain which is ill posed in nature. So regularization has been used in the restoration process. The selection of regularization parameter still remains a difficult problem due to the amplification of noise in the inversion process...
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 research aims to study speed sensorless DC motor control using Kalman filter. Kalman filter considers the DC motor mathematical model. The model will start from a continuous state space into a discrete state space form. Inputs of the system are the armature voltage and the armature current with noises. The output of the system is the estimated speed. Kalman filter is used to estimate the speed...
Performance of biometrics in human authentication can be limited when multiple samples of a user's biometric information differ due to intra-class variability in acquisition, storage or transmission of biometrics. Thus, random correspondence results between users. We formulate probability of random correspondence (PRC) by developing an information model of biometrics features as a noisy source. The...
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...
In this paper, an automatic border detection of cardiac cavity in two-dimensional short axis echocardiography image is proposed. The method uses boundary and triangle equation to detect and reconstruct the border. The first step is determining the initial centers boundary. The second step is applying morphological and thresholding operations to eliminate noise and convert it into binary image. The...
In this paper a new partial differential equation based method is presented with a view to denoising images having textures. The proposed model combines a nonlinear anisotropic diffusion filter with recent harmonic analysis techniques. A wave atom shrinkage allied to detection by gradient technique is used to guide the diffusion process so as to smooth and maintain essential image characteristics...
In this paper, we propose a distributed dynamic consensus scheme which exhibits noise resilient property. In our setup, each node is modeled as a simple integrator. We use frequency-domain analysis to establish that the output of each node tracks the (weighted) average of the inputs of all nodes with zero steady-state error and show that a certain kind of graph Laplacain (called feasible Laplacian)...
A complex diffusion process based on Schro??dinger wave equation is proposed and implemented as a nonlinear filter to perform homomorphic filtering for reducing speckle noise from digital images. Due to the multiplicative and complex nature of speckle noise it becomes practically difficult to restore a degraded image, hence a homomorphic filtering approach is used for the reduction of the same. The...
The heart's mechanical activity while pumping out blood causes the vibration of physical and the object connecting with physical. The vibration is rhythmically with the heart rate and record as ballistocardiogram (BCG) on the spinal axis of the body. It is able to know humanpsilas heart rate by measuring the vibration. BCG is weak non-stationary random signal and contains a lot of noise caused by...
This paper describes an implementation of a beam former monolithic microwave integrated circuit (MMIC) for the SKA demonstrator project known as EMBRACE using the SG25H1 silicon germanium process of IHP microelectronics. This process is qualified as a high-performance technology with npn-HBTs up to ft/fmax = 180/220 GHz.
A flux linkage estimation method for induction motor based on extended Kalman filter theory (EKF) is presented in this paper. In order to improve the accuracy of filtering, genetic algorithm (GA) is introduced to optimize the noise matrix, and also filtering parameters in EKF. Simulation results show that the flux observer with optimized filtering parameter has better estimation accuracy and dynamic...
This note derives a novel alternative state-space formulation of 2D frequency transformation for 2D digital filters by utilizing linear fractional transformation (LFT) techniques. It turns out that the obtained new state-space formulation is much simpler than the existing result. Moreover, all the known 1D and 2D formulations can be unified by the proposed formulation as special cases. Numerical examples...
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