MATLAB-GUI

此文件很好的讲解了模糊PID方面的问题，帮助大家较快的掌握模糊PID.(This file is a good explanation of the problem of fuzzy PID, help faster grasp blurred the PID.)

说明：  对序列进行重构后，计算对应的矩阵，针对不同的嵌入参数，得到不同的图形(Reconstruction of the sequence, the calculation of the corresponding matrix, for different embedding parameters, get a different graphics)

针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算 法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相 结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.(Image distortion for high-precision, a least-squares image matching based on high-precision image distortion correction algorithm. First of all, the use of feature extraction algorithm for edge detection and image pre-processing, and will feature matching with a combination of least-squares algorithm in order to achieve the image and the template between the sub-pixel accurate positioning and matching. The experimental results show that the algorithm has better accuracy of the solution to the current distortion prevalent image correction algorithm to match the accuracy of the positioning and less defects, image correction effect well, is an effective algorithm to correct image distortion.)

含有 matlab 实例编程一百个源程序，放在当前目录下就可工作(Matlab programming examples contain source code 100, under the current directory can be placed on the work of)

Applied numerical methods using MATLAB

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)

地心坐标系下的经纬高坐标数据，转换为东北天坐标系下的坐标。输入为经纬高，单位为°。 matlab文件实现，调用函数名为：ECEFtoENV(Geocentric latitude and longitude coordinates of the high-coordinate data is converted to Northeast day coordinate system coordinates. Latitude and longitude input is high, the unit is.)

说明：  Instrument control codes for downloading Matlab waveform file to the signal generator

教你如何用MATLAB编写MIMO系统程序(Teach you how to program)

This code changes contrast of images.