TOOLBOX Stabilitas dan Kelsalahan

学习MATLAB很好的课件，非常全面，对于新手更是好工具！(good file)

matlab MIMO仿真工具箱，含使用说明(Matlab simulation toolkit for use with)

《统计信号处理》中使用Prony建模方法来模拟随机信号(PRONY Model a signal using Prony s method )

基于MATLAB_SIMULINK的QDPSK通信系统仿真(MATLAB_SIMULINK QDPSK communication system simulation)

分数阶PID比一般PID多了2个可调参数，实现了常规PID所无法实现的控制功能，并且更精确有效(Fractional PID PID more than two adjustable parameters, and can not be achieved by the conventional PID control functions, and more accurate and efficient)

学习线性分类器，可以自动识别两类数据点，数据点可以有交叉域，或者没有，共使用了三种方法。(Learning the self-learning process of linear classifier, and then design a linear two-class classifier and do some research based on the feature of linear classifier.)

数值分析实验三 MATLAB 数值积分 梯形公式(MATLAB numerical analysis numerical integration experiment three)

Gradient information serves several purposes. It can relate the structure of objects in an image, identify features of interest for recognition/classification directly or provide the basis of further processing for various computer vision tasks. For example, "edges," noted by regions of high gradient magnitude, are central to the task of identifying defects in circuitry. A sample "edge-detected" image using the Image Processing Toolbox for MATLAB is shown where locations marked by white are those points that are indicative of high gradient magnitude, which can also be described as regions of high pixel contrast.

Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing，稀疏表示的最新巨作(Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing, sparse representation of the latest blockbuster)

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