家用洗衣机的模糊变频控制

从硬件设计和软件设计两个方面，系统地介绍了采用MC68HC705单片机与IPM模块实现洗衣机模糊变频控制的方法；并对开发过程中的某些关键问题给出了较为详细的论述。     

Image and Video Quality Assessment Using Neural Network and SVM

An image and video quality assessment method was developed using neural network and support vector machines （SVM） with the peak signal to noise ratio （PSNR） and the structure similarity indexes used to describe image quality. The neural network was used to obtain the mapping functions between the objective quality assessment indexes and subjective quality assessment. The SVM was used to classify the images into different types which were accessed using different mapping functions. Video quality was assessed based on the quality of each frame in the video sequence with various weights to describe motion and scene changes in the video. The number of isolated points in the correlations of the image and video subjective and objective quality assessments was reduced by this method. Simulation results show that the method accurately accesses image quality. The monotonicity of the method for images is 6.94% higher than with the PSNR method, and the root mean square error is at least 35.90% higher than with the PSNR.