matlab

书籍 MATLAB控制系统设计与仿真[张德丰][程序源代码].zip(MATLAB Control System Design and Simulation [Zhang Defeng] [source code]. Zip)

matlab程序语言学习，可以有效掌握matlab 编程的技巧。(Matlab language learning, can master the matlab effectively Programming skills. )

说明：  MATLAB图像处理源程序4： P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象 (MATLAB image processing source code: P0401: Prewitt operator to detect image edge P0402: different sigma value LoG operator image edge detection P0403: Canny operator to detect image edge P0404: image thresholding segmentation P0405: water of line thresholding segmentation image segmentation P0406: matrix quadtree decomposition P0407: image into text and non-text two categories P0408: morphological gradient detection Binary Image Edge P0409: morphological instance,- Images from the PCB Remove all current lines, retaining only chip targets)

利用bilinear函数实现基于双线性Z变换的数字滤波器 (bilinear filter)

fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples.fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s with parameter: s format:result = fit_rayleigh_pdf( x,y,W,hAx ) input: y - vector, samples of the histogram to be fitted x - vector, position of the samples of the histogram (i.e. y = f(x,a)) W - matrix or scalar, a square weighting matrix of the size NxN where N = length(y), or 0 to indicate no weighting is needed. hAx - handle of an axis, on which the fitted distribution is plotted output: result - structure with the fields s - fitted parameter VAR - variance of the estimation type- weighted LS or not weighted LS iter- number of iteration for the solution

这是一个基于磁场定向的永磁同步电机仿真模型，其中内外环控制均采用模糊PID(This is a permanent magnet synchronous motor based on field-oriented simulation model, wherein the inner and outer rings are fuzzy PID control)

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier

计算求解连续时间信号的SINAD，分析其频谱特型(Calculate the SINADof Real Signal)

说明：  图像处理程序，包括图像锐化，图像边缘检测等(Image processing procedures, including image sharpening, image edge detection)

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