quantization_error_Matlab_file

切比雪夫配置点谱方法一阶偏微分展开项矩阵(Chebyshev collocation spectral method for a matrix of order partial differential expansion terms)

说明：  很强大，用于优化的算法，准确度高，速度快(Very good, algorithm for optimization, high accuracy, fast speed)

Essential C# 2.0 gives you just what you need to quickly get up and running writing C# applications

运用matlab来实现了实时动画的一个示例(Use matlab to realize the real-time animation of an example)

本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。(This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) the new method. The method of iterative filtering theory is introduced to the extended Kalman filter method, the effective measurement of repeated use of the new information, also using Levenberg-Marquardt method to adjust the covariance matrix of prediction algorithm to ensure global convergence. Experimental results show that the proposed method has higher estimation accuracy, is a high efficiency, good performance tracking methods.)

ch3=softt(h3,thr1 clear clc I=imread( lena512.bmp ) imshow(I) I=double(I) II=I+30*randn(size(I)) figure imshow(II,[]) [a1,h1,v1,d1]=dwt2(II, sym8 ) [a2,h2,v2,d2]=dwt2(a1, sym8 ) [a3,h3,v3,d3]=dwt2(a2, sym8 ) sigma=median(abs(d1(:)))/0.6745 x=3*sigma thr1=x*2^(-1) thr2=x*2^(-0.5) thr3=x 小波图像去噪( ch3=softt(h3,thr1 clear clc I=imread( lena512.bmp ) imshow(I) I=double(I) II=I+30*randn(size(I)) figure imshow(II,[]) [a1,h1,v1,d1]=dwt2(II, sym8 ) [a2,h2,v2,d2]=dwt2(a1, sym8 ) [a3,h3,v3,d3]=dwt2(a2, sym8 ) sigma=median(abs(d1(:)))/0.6745 x=3*sigma thr1=x*2^(-1) thr2=x*2^(-0.5) thr3=x )

信号检测很有用的参考资料，很全。非常适合自学者(signal processing ,good for newer)

说明：  有限元Matlab程序，两网格并行程序，Morley程序(Finite Element Matlab program, the two grid parallel program, Morley program)

matlab程序可以实现了数据从COmnlcx文件的输入，ar模型预测，arma模型预测，卡尔曼滤波器模型预测，利用图形用户界面编写 ，可以调节xCEZaLe环境，测试通过。 ( Matlab program can realize the data input a COmnlcx file. AR model prediction, ARMA model prediction and forecasting model Kalman filter using a graphical user interface written COmnlcxl environment can be adjusted, the test. )

matlab code for solar radiation simulator