An image denoising method based on spatial filtering is proposed on order to overcoming the shortcomings of traditional denoising methods in this paper. The method combined mean mask algorithm with median filtering technique is able to replace the gray values of noisy image pixel by the mean or median value in its neighborhood mask matrix and highlight the characteristic value of the image. Peak signal to noise ratio and mean square error are used as the evaluation index in this method and comparison between mean filter and median filter is done. The experimental results show that this denoising system makes the images have a high signal to noise ratio and integrity of edge details and take into account real-time, and fast response characteristic of the system.
A high-performance bandgap reference voltage source design method is proposed in this paper, according to the shortcomings of traditional bandgap reference voltage source. This method combined CSMC 0.35μm CMOS process with Aether software technology, enabling to improve the bandgap reference source op amp performance and take into account accuracy and stability of the system. From the experimental results: this bandgap reference voltage source output voltage has changed about 63 mV when the temperature varied from to , and the line regulator is 0.4mV/V when the power supply voltage varied from 3.2V to 3.3V. This system has advantages of high accuracy and good stability.
An image compression denoising method based on median filter and wavelet transform is proposed in order to overcoming shortcomings of traditional methods of image processing in this paper. This method combined hardware parallelism with software technology is enable to achieve image compression denoising and take into account algorithm validation, and fast response of the system. An real-time image processing system is design by this method. Design and hardware implementation of fast median filtering algorithm based on EP1C12 FPGA chip is realized and software simulation of median filter and wavelet transform is done. The experimental results show that this system has advantages of fast response characteristic, less time consuming and high signal to noise ratio.
In this paper, a fuzzy PI control method is proposed in order to overcoming shortcomings of traditional PI regulator control permanent magnet synchronous motor, in this paper. This method combined traditional PI control with fuzzy control is enable to achieve self-tuning fuzzy parameters PI control and take into account sensitivity, and robustness of the system. A double-loop (current loop and velocity loop) fuzzy control system is designed by this method. Modular design of the fuzzy PI controller based on FPGA chip is realized and simulation and experimental is done. The experimental results show that this system has advantages of fast response characteristic, good stability and high precision adjustment.
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