To ameliorate the quality of filtering, we studied in this paper, the adaptive approach applied in multichannel images. So, we have proposed an Adaptive Vector Median Rational Hybrid Filter (AVMRHF). This filter is based on Adaptive Vector Median Filters (AVMF) and a Vector Rational Function (VRF). The analysis and experimental results reported in this paper indicate that the proposed filter is...

The canny edge detection technique is a multi-stage algorithm which is an optimal edge detection technique. But it removes noise in an image using Gaussian filter to become insensitive to noise. The Gaussian filter smoothes even the edges in the images so that the through put is decreased. That is some of the true edges may be missed and false edges may appear in the edge detection. We propose ...

Annihilation or reduction of each kind of noise blended in correct data signals is a field that has attracted many researchers. It is a fact that fuzzy theory presents full capability in this field. Fuzzy filters are often strong in smoothing corrupted signals, whereas they have simple structures. In this paper, a new powerful yet simple fuzzy procedure is introduced for sharpness reduction in ...

When conducting dynamic tests, when simulating shock effects, the measurement system - from sensor to data acquisition unit is subject significant overloads. In this circuit, accelerometer most vulnerable link. Therefore, piezoelectric accelerometers have become widely used in measuring shocks as more reliable and durable, but they also a number of disadvantages. Thus, under broadband vibration...

An adaptive version of growing and pruning RBF neural network has been used to predict the system output and implement Linear Model-Based Predictive Controller (LMPC) and Non-linear Model-based Predictive Controller (NMPC) strategies. A radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.An Unscented Kal...

In this paper we analyze and extend a class of adaptive networks for second order blind decorrelation of instantaneous signal mix tures Firstly we compare the performance of the decorrelation neural network employing global knowledge of the adaptive co e cients in with a similar structure whose coe cients are adapted via local output connections in Through statistical analyses the convergence b...

The presence of non-linear effects in adaptive filtering was observed previously in a wide sense stationary equalization scenario with narrowband interference. The influence of a variety of parameters on the magnitude of such non-linear effects was also investigated. While the adaptive filter appears to exhibit behavior that one would expect in a wide sense stationary scenario, we show here tha...