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用MATLAB进行仿真，模拟在生物化学领域中对物质主成分的分析(Using MATLAB simulation, simulation in the field of biochemistry for material principal component analysis)

说明：  完整的锁相环matlab代码实现，其中包括高斯噪声干扰，频差，相差，给出最后频率及相位收敛结果图。重要的是代码中有本人详细注释，易于理解(Complete phase-locked loop matlab code, including the Gaussian noise interference, frequency difference, a difference, given the final results of the frequency and phase diagram convergence. Important that the code in detail in my notes, easy to understand)

sources of matlab for finite element method

Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重： 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules: If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)

复旦大学自动控制理论matlab基础第三讲，关于matlab的知识(Matlab automatic control theory based Fudan University Lecture, on the knowledge of matlab)

matlab的基于种子的区域生长处理，源码(matlab region grow seed growing matlab regiongrow region growing using matlab regiongrow by seed regiongr )

it is is matlab code for lda

说明：  压制干扰在雷达模拟中的应用，进行干扰模拟和识别。(Suppression jamming is applied in radar simulation to simulate and identify jamming.)

说明：  To improve the boiler drum level control system of a power plant, the three challenging issues encountered include (1) effect of ‘‘false water level’’, (2) controller parameter mismatches due to variant working conditions and (3) signal noise caused by uncertainties of drum level. In this paper, based on analyses of the drum level signal, an adaptive derivative action is presented to monitor steam flow, and thus, the effect of ‘‘false water level’’ is weakened. The uncertainties of parameter mismatches and noise are predicted by developing a Grey predictor based algorithm (GPBA). In order to resolve the three problems and further control performance, an adaptive technique is combined with the GPBA to develop an adaptive Grey predictor based method. Finally, concrete simulations give that the proposed method has obvious superiority over conventional methods.

canny双阈值边缘检测方法 可以对图像进行边缘检测(canny edge detection dual-threshold edge detection can )