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This paper presents a new particle filter (PF) that efficiently works with the smaller number of particles than the original one. PF is one of the most promising sequential data assimilation methods because it can be applied to nonlinear and/or non-Gaussian systems. However, PF has a problem in that its estimation accuracy deteriorates when the number of particles in the ensemble is small. We believe...
This paper identifies and analyses the factors that contribute to the similarity between two sets of minutiae points as well as the probability that two sets of minutiae points were extracted from fingerprints of the same finger. Minutiae-based fingerprint matching has been studied extensively in the literature, however, there is still a need for major improvement especially when it comes to comparing...
This paper presents generalization on the Improved Fractional Kalman Filter (ExFKF) for estimation over lossy network with packets delay. This generalization is based on the infinite dimensional form of a linear discrete fractional variable order state-space system and measurements equation augmentation. Some simulation cases are given in order to demonstrate the effectiveness of the proposed algorithms,...
This contribution concerns the unscented Kalman filter (UKF) for higher index nonlinear differential-algebraic equation (DAE) systems. First, a short introduction to DAE systems is given. A solution concept for nonlinear DAE systems is discussed focusing on properties which are essential for the application of the UKF algorithm. The introduction of a stochastic noise in DAE systems and the contrast...
We present a theoretical study on the temporal current fluctuation in nanowire FET caused by the presence of a single gate oxide trap through the Coulomb interaction. Our calculations based on the scattering theoretical formulation of the current noise showed that the presence of the trap level in the gate insulator gives rise to the enhancement of the noise at a specific gate voltage. The peak position...
As operating frequencies of electronic devices have become higher recently, GHz-band electromagnetic noise leakage from gaps of a shielded enclosure may become a problem. Conductive sealing gaskets are usually applied and mostly effective in this case, however, high contact pressure is required and deterioration is therefore inevitable. In this paper, a gasket-free electromagnetic shielding structure...
The hopping transport in organic semiconductors produces characteristic frequency dependencies of the admittance and noise, which are calculated in this paper for the first time based on the master equation approach, where noise is evaluated by the Langevin approach and a modified Ramo-Shockley theorem. At low frequencies and low injection the non-equilibrium noise is found to be shot noise in the...
The paper aims to review and deepen the effects of the modal density in the dynamical identification with the Complex Plane Representation (CPR) method that is based on the Hilbert transform of the motion response of mechanical systems. It is demonstrated that the strong accuracy in the identification of the modal parameters with the CPR method can be somewhat corrupted for high modal densities. Theoretical...
This paper presents the application of a Metaheuristic optimization algorithm for determining the parameters of a PI controller and the values of the state and measurement noise of Kalman Filter. The particle swarm optimization is a new technique that is used to solve complex problems. It minimizes a cost function under the cooperation of many individuals. Kalman Filter is used here to estimate the...
In order to achieve the UAV's precise positioning of the radiation target, firstly is to do the state estimation itself. The BDS/INS Integrated Navigation system is a high-precision real-time navigation scheme which has been widely used, it is not only able to pinpoint the UAV, but also can provide the UAV's navigation information such as speed, acceleration and attitude angle etc. so it can meet...
Method for calculation of maximum permissible field strength at fixed radio monitoring station site is suggested. If the field strength of the radio stations situated near radio monitoring station does not exceed the calculated value, then they do not cause radio interferences to the radio monitoring station.
Inverted pendulum is a nonlinear, multivariable and instability system. In the past, without considering the effects of measurement noise and output noise of the sensor in the processing of inverted pendulum control, the strong random jitter occur, and the control accuracy and stable of the inverted pendulum is reduced. Because the Kalman filter can estimate the signal is corrupted by the noise, the...
Relaxometry mapping is a quantitative modality in magnetic resonance imaging (MRI) widely used in neuroscirence studies. Despite its relevance and utility, voxel measurement of relaxation time in relaxometry MRI is compromised by noise that is inherent to MRI modality and acquisition hardware. In order to enhance signal to noise ratio (SNR) and quality of relaxometry mapping we propose application...
We consider an additive multiple-access channel where single-user decoding is performed at the receiver and study the Shannon capacity when the interference is modeled as impulsive alpha-stable and the additive noise as Gaussian distributed. We investigate scenarios whereby the input is possibly non-linearly distorted, and consider generic cost functions on the input. We prove that the optimal input...
A persistent question in multivariate neural signal processing is how best to characterize the statistical association between brain regions known as functional connectivity. Of the many metrics available for determining such association, the standard Pearson correlation coefficient (i.e., the zero-lag cross-correlation) remains widely used, particularly in neuroimaging. Generally, the cross-correlation...
In the SINS swing base initial alignment process, the filtering model is nonlinear error model because of the large azimuth misalignment angle. The alignment adaptivity can be improved efficiently with the combination of strong tracking theory and UKF. In this paper, the fuzzy logic adaptive controller is applied to confirm the tracking factor, which can enhance the adaptivity of the strong tracking...
Under the optimal fusion criterion of linear unbiased minimum variance, a new optimal weighted measurement fusion Kalman filtering algorithm is presented. It is applicable to the multisensor linear discrete time-invariant systems with correlated noises and different measurement matrices. Its optimality is rigorously proved. Compared with the existing results, the full-rank decomposition of matrix...
Coordinating the joint-actions of agents in cooperative multiagent systems is a difficult problem in many real world domains. Learning in such multiagent systems can be slow because an agent may not only need to learn how to behave in a complex environment, but also to account for the actions of other learning agents. The inability of an agent to distinguish between the true environmental dynamics...
To achieve the steady-state control of the tokamak plasma on its start-up phase, the key point is to obtain plasma position. A fast CCD camera is used for plasma image acquisition in the tokamak. According to the characteristics of plasma image position during plasma discharge, an improved Canny edge detection algorithm is used to acquire plasma image boundary. And then, by using an improved least...
This paper presents a 128.7nW analog front-end amplifier and Gm-C filter for biomedical sensing applications, specifically for Electroencephalogram (EEG) use. The proposed neural amplifier has a supply voltage of 1.8V, consumes a total current of 71.59nA, for a total dissipated power of 128nW and has a gain of 40dB. Also, a 3th order Butterworth Low Pass Gm-C Filter with a 14.7nS transconductor is...
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