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 ...

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...

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...

been used to compare the commonly used polynomial regression (PR) filter with more advanced adaptive filtering techniques for clutter removal. More specifically, three adaptive filtering techniques were used in the comparison. The mean-frequency (MF) filter adapts to the tissue movement by down-mixing the temporal signal with the mean Doppler frequency. The varying-frequency (VF) filter adapts ...