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The sensitivity of a recently proposed spike detector exploiting the volatile properties of memristive device is optimised. A 200 nm × 200 nm TiOx memristive device in volatile region is biased with sub-threshold, unipolar and bipolar neural events. The input neural signal is pre-processed using different amplification settings. The resistive state response of the test device in response to the input...
The main role in the task of process remote sensing data of the Earth surface are played algorithms of forming and classification those data. From the statistical point of view the solution is based on the maximum-likelihood method. The paper presents analytical equations for likelihood coefficients and the structural scheme of their forming in the solution of radar signal recognition. To analyze...
A method for separating and accurately estimating ADC noise, aperture jitter, and clock jitter is presented for ADC testing and characterization. This significantly relaxes clock jitter requirements and removes the need for high precision test instruments, but still allows ADC specifications like SNR, SNDR and ENOB to be accurately estimated.
In the process of solving a wide range of tasks concerning the Earth surface remote sensing and its state monitoring, the main role is played by the algorithm of the surface image forming and the algorithm of images and their fragments classification as well. From the statistical point of view the solution is based on the maximum-likelihood method. The paper presents analytical equations for likelihood...
This paper proposes a programmable Low Pass Filter (LPF) to improve the performance of sensorless stator flux orientation control for induction motors. Commonly, a pure integrator based on the voltage model is used to estimate stator flux linkages for its simplicity. However, due to noise errors such as strong Gaussian noise variance, a drift and a dc offset are easily produced by the integrator when...
Superpixel algorithm aims to semantically group neighboring pixels into a coherent region. It could significantly boost the performance of the subsequent vision processing task such as image segmentation. Recently, the work simple linear iterative clustering (SLIC) [1] has drawn huge attention for its state-of-the-art segmentation performance and high computational efficiency. However, the performance...
The inter-carrier interference (ICI) caused by Doppler spread in mobile channels affects the OFDM orthogonality. This paper presents a comparative study of the performance of different low complexity methods to estimate the ICI power present in mobile reception. In addition, a new method based on experimental results is proposed. Several computer simulations based on OFDM systems with Log-likelihood...
This paper presents the development of multiparametric model predictive control strategies for the control of the hypnotic part of the depth of anaesthesia. Based on a detailed compartmental model featuring a pharmacokinetic and a pharmacodynamic part, two different control strategies are employed and tested comparatively with the nominal mp-MPC. The designed strategies: a simultaneous multiparametric...
This paper proposes a grid impedance estimation method for distributed generation units using a sequential Monte Carlo method called particle filtering. The theoretical background of this method is reviewed, and system equations are derived. First results for implementation are given in this course of the paper. To the authors' knowledge, this is the first implementation of this filter in grid impedance...
Mismatched acoustic transmission channels are known to cause degradations in reliability of automated speaker recognition. The problem becomes significant in the presence of non-trivial ambient noises and acoustic reverberation. Channel equalization, i.e. the removal or reduction of the channel effects, to some extent, mitigates the mismatching problem at the cost of added distortions to the vulnerable...
This paper is concerned with state filtering and the parameter estimation problem of noisy Hodgkin-Huxley neuronal model. The Cubature Kalman filter is applied to solve the joint estimation problem as an effective means of dealing with system noise and observation noise. The proposed state filtering method is based on the only measurable variable - membrane potential. In addition, the method is applicable...
This paper proposes a new probability iterative closest point approach with bounded scale based on expectation maximization (EM) estimation for scaling registration of point sets with noise. The bounded scale ICP algorithm can handle the case with different scales, but it could not effectively yield the alignment of point sets with noise. Aiming at improving the registration precision, a Gaussian...
The current paper addresses the problem of object identification from multiple 3D partial views, collected from different view angles with the objective of disambiguating between similar objects. We assume a mobile robot equipped with a depth sensor that autonomously grasps an object from different positions, with no previous known pattern. The challenge is to efficiently combine the set of observations...
This paper presents an estimation procedure for exploiting multipath signal propagation in shallow water to perform passive ranging. The scenario of interest is a pair of sensors receiving an underwater acoustic signal that has arrived via a bounce from the ocean floor. This approach also applies in other situations, for example, to multiple airborne sensors passively receiving emissions from an airborne...
This paper presents a novel estimation problem of Markovian jump linear systems (MJLSs) with generalized unknown disturbances (GUDs) in measurements. In these systems, there exist multiple uncertainties such as Markovian switching parameters, the GUD and system noises. Here, the multi-mode complexity in original system is transformed into the randomness of parameters in new system by geometric augmentation...
Track-to-track association and sensor bias estimation are two important problems in multi-target multi-sensor tracking system. Track-to-track association becomes more complex in the presence of sensor bias and incorrect track association will lead to poor bias estimation results. Solving these two problems jointly would be attractive. This paper proposes a recursive joint track-to-track association...
Due to physical laws or mathematical properties the parameters and/or the states of some dynamic systems satisfy certain constraints, and exploitation of such constraints generally is expected to produce more accurate system models. This paper is concerned with modeling of the dynamic systems with equality constraints. An effective framework of the constrained dynamics modeling is proposed by which...
The paper deals with the estimation of the noise characteristics of a linear system described by the state space model. In particular, the stress is laid on the linear systems with the measurement noise correlated in time. The method, providing unbiased estimates of the state and measurement noise characteristics is analytically derived. The method extends, in principle, the concept of the correlation...
With the rapid development of sensor technology, multiple sensors are often available in many engineering applications, such as space object tracking. How to effectively use multiple sensor information is the key to achieving accurate space object state information. In this paper, the information weighted consensus (IWC) strategy is deployed to solve the cooperative sensor tracking problem. In addition,...
For linear-Gaussian non-deterministic dynamics, that is, systems with non-zero process noise, it is well known that tracklet fusion based on equivalent measurement is optimal only for full communication rate, i.e., if the local posterior probabilities or estimates are communicated and fused after each observation and update time. Despite this constraint, tracklet fusion has become very popular because...
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