pwminverter_fed_im

采用刚性关节链模型解决了保弧长的曲线变形问题(Based on the technique of inverse kinematic chain，the problem of mid—point—goal deformation is solve)

FIR filters in Matlab

节点总数目N； 平均连接度α 边的平均长度β 两点间长度d(i,j) 节点间最长的边的长度L 两点的连接概率p(i,j) (The total number of nodes N average connectivity α β average length sides between two points length d (i, j) between nodes longest side length L connecting two points of the probability p (i, j) )

12.1 图像点的运算 12.1.1 线性点运算 12.1.2 非线性点运算 12.2 图像的算术运算 12.2.1 加法运算 12.2.2 减 法运算 12.2.3 乘法 运算 12.2.4 除法 运算 12.2.5 其它运算 12.3 图像的位逻辑运算 12.4 图像的几何运算 12.4.1 图像插值 12.4.2 图像缩放 12.4.3 图像旋转 12.4.4 图像剪切 12.5 空间变换 12.5.1 仿射变换（ affine transformation ） 12.5.2 透视变换 (Perspective Transformation) 12.5.3 空间变换的 MATLAB 函数 12.5.4 空间变换实例 12.6 图像融合 12.7 邻域与块操作 12.7.1 邻域操作 12.7.2 图像块操作 12.8 区域处理 12.8.1 区域选择 12.8.2 区域滤波 12.8.3 区域填充(12.1 image point arithmetic 12.1.1 computing linear point 12.1.2 nonlinear point operations 12.2 image adder computing 12.2.1 Arithmetic 12.2.2 subtraction multiplication 12.2.3 computing division 12.2.4 computing 12.2.5 other computing 12.3 Image 12.4 Image-bit logic operations geometric computing 12.4.1 Image Interpolation 12.4.2 image scaling 12.4.3 image rotation 12.4.4 Shear Image 12.5 Space Conversion 12.5.1 affine transformation (affine transformation) 12.5.2 Perspective Transform (Perspective Transformation) 12.5.3 space transform space transform MATLAB function 12.5.4 Examples 12.6 Image Fusion 12.7 Neighborhood and Block Operation 12.7.1 Operation 12.7.2 neighborhood image processing block operation 12.8 Regional 12.8 area selection 12.8.1. 2 regional filtering area filling 12.8.3)

Code source of Model AR+Burg spectrum for detect inter scatterer spacing used Ultrasound of liver

2fsk的调制及加入高斯白噪声后相干解调误码性能(Modulation 2fsk and by adding white Gaussian noise and coherent demodulation error performance)

mathematical solutions os some problems

ga优化神经网权值&阈值程序。为了方便，我把几个matlab的程序都放在txt文件里，使用时，对照把txt内容复制进matlab即可(ga optimization neural network weights & threshold procedures. For convenience, I have several matlab programs on the txt file, use, control the content of the txt you copied into matlab)

波束形成中music和常规波束形成比较。常规波束形成方法、music方法。可直接运行，其中有详细的文字解释。(Beamforming music and conventional beamforming comparisons. Conventional beamforming method, music methods. Can be directly run, including a detailed explanation of the text.)

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)