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针对一阶惯性加纯滞后环节的系统，利用大林算法对其进行理论分析和离散化，并且设计出数字控制器，分析振铃现象(For first-order inertial system plus time lags, the use of Dahlin its theoretical analysis and discrete, and digital controller design, analysis ringing)

视频处理中让视频的前景和背景分离的matlab程序(Video processing--to realize the separation of foreground and background in a given video sequence )

16QAM基带 在 AWGN 信道下的调制解调仿真程序 无信道编码(16QAM AWGN)

实现了多信道停等ARQ的MATLAB仿真，给出了多种信道的实例(Realize such multi-channel ARQ stop the MATLAB simulation, given a variety of examples of channel)

This book about history of fuzzy logic

雷达系统仿真的书和程序，对于写论文很有帮助的。特别是程序很有参考价值(Radar system simulation of books and procedures for writing papers helpful. Program was useful in particular)

Physical Modeling in MATLAB ebook

Imagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).(Piled images Imagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).)

K均值算法描述： 给定类的个数K，将N个对象分到K个类中去， 使得类内对象之间的相似性最大，而类之间的相似性最小。(K-means algorithm described: a given number of classes K and N objects assigned to the K-th class, so that objects within the class of the similarity between the maximum, while the similarity between the minimum class.)

重要参数的提取，是本科毕设的题目，可以实现模式识别领域的数据的分类及回归，进行逐步线性回归，构成不同频率的调制信号，正确率可以达到98％，在MATLAB中求图像纹理特征。( Extract important parameters, The title of the commercial is undergraduate course you You can achieve data classification and regression pattern recognition, Stepwise linear regression, Constituting the modulated signals of different frequencies, Accuracy can reach 98 , In the MATLAB image texture feature.)