rengongyuqunyuandaima

science project to develop a ballon car. science project for school kids

数字图像修复算法的评价标准也是从两个方面进行评价的，一个是修 复算法的效率，一个是修复后图像质量。修复算法的效率主要就是看修复 图像所用的时间，可以用时间就行量化。而图像质量很难从量上唯一的进 行评价，目前图像修复质量还没有统一的评价标准，从实际应用出发，修 复后图像质量的好坏大多数是从以下两个方面就行评价，修复后图像给人 主观上的“满意度”和客观上图像的cnr、enl、epi、psnr、snr来评判。(The evaluation criteria of digital image restoration algorithms are also evaluated from two aspects, one is repair. One of the efficiency of complex algorithm is the image quality after restoration. The efficiency of the repair algorithm depends mainly on the repair. The time spent on the image can be quantified in terms of time. But image quality is difficult to improve quantitatively only. At present, there is no uniform evaluation criterion for image restoration quality. Starting from practical application, repair The quality of restored images is mostly evaluated from the following two aspects, and the restored images are given to people. Subjective "satisfaction" and objective image cnr, enl, epi, psnr, SNR to judge.)

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

introduction for plotting graphs in matlab

《高等光学仿真》第一版的第三章源程序，主要是关于单模光纤和多模光纤的特征方程(" Advanced optical simulation," the third chapter of the first edition of the source, mainly on single-mode fiber and multimode fiber characteristic equation)

D-S证据理论数据融合，粒子图像分割及匹配均为自行编制的子例程，仿真图是速度、距离、幅度三维图像，加入重复控制，合成孔径雷达（SAR)目标成像仿真，从先验概率中采样，计算权重。( D-S evidence theory data fusion, Particle image segmentation and matching subroutines themselves are prepared, FIG simulation speed, distance, amplitude three-dimensional image, Join repetitive control, Synthetic Aperture Radar (SAR) imaging simulation target, Sampling a priori probability, calculate the weight.)

这是一个将时间改换到深度的程序,这是一个matlab程序(this is a program for time to depth)

field oriented control of induction motor

用MATLAB计算Zernike矩，用于不变量特性的研究。适用于图像处理。(Using MATLAB computing Zernike moments for invariant features of. Applied to image processing.)

利用Matlab仿真的泊松过程，包含齐次过程和非齐次过程，平稳过程等。(Matlab simulation of the Poisson process, including the process of homogeneous and inhomogeneous process, stationary process.)