upqcmodelmpc_1

说明：  该资源是MATLAB程序设计，对MATLAB初学者入门MATLAB程序设计有很大的帮助，通过该课件能够基本使用MATLAB进行简单的编程(The resources are the MATLAB programming, Introduction to MATLAB on the MATLAB programming beginners have a lot of help, through the basic use of MATLAB software can be a simple programming)

motor model for realtime programming

To find FFT, SNR and SFDR

图像处理方面，可以实现在两车交汇时对车辆的准确定位与跟踪。是MATLAB与卡尔曼滤波的结合(In image processing, it can realize the accurate location and tracking of the vehicle at the intersection of the two vehicles, which is the combination of MATLAB and Calman filter.)

这个程序是一个模糊逻辑控制器，用来控制一个简单的水箱模型，比较简单，是我自己设计的，或许能够给大家一些帮助。(This process is a fuzzy logic controller, used to control a simple tank model, relatively simple, is my own design, may be able to give you some help.)

说明：  walsh码的生成程序,小m序列的生成程序,以及求序列之间周期和非周期相关函数(code generation process, small m sequence generation process and seek sequence between cycles and cycle-related function)

判断一个函数的零点位置与各点正负，可输出效果图(A function to determine the position of each point of plus or minus zero, output renderings)

PLS算法的实现以及对TE过程的预测效果(PLS Algorithm implementation and prediction of TE process)

高斯信道、莱斯信道和瑞利信道的误码率分析(Gaussian channel, Rice channel and Rayleigh channel the analysis of BER )

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.