LAGRANGE

The new meshless method based on the cover least square approximation, which utilize cover instead of points that are used in the moving least square approximation, is proposed. For the cover distribution, multi scale voxel data is used for the ease of analysis in 3D solid. Several 3D examples are shown for demonstration. The method is applied to adaptive analysis of seepage flow problem of rock including complicated cracks. The rock model with 3 cracks and 1000 cracks are analyzed

说明：  本文件是一个对车牌号码进行识别的程序加上一些代码，图片希望对大家有帮助(vihicles distingguish)

地震合成记录，通过褶积模型，利用子波和反射系数求出了自激自收情况下的波形。(synthetic seismogram)

说明：  利用EM算法对状态空间模型中的参数进行辨识，效果良好(The EM algorithm is used to identify the parameters in the state space model, and the result is good.)

u can calculate DCT clc inp = imread( Im1.jpg ) inp1 = imread( Im2.jpg ) A = double(inp(:,:,1)) B = double(inp1(:,:,1)) A1=double(blkproc(A,[8 8], dct2 )) B1=double(blkproc(B,[8 8], dct2 )) [r,c] = size(A1) r1 = [] for i=1:r for j=1:c if A1(i,j) > B1(i,j) r1(i,j)=A1(i,j) else r1(i,j)=B1(i,j) end end end r1= double(r1(:,:,1)) C=blkproc(r1,[8 8], idct2 ) round(C) C1=idct2(r1) figure imshow(uint8(C)) figure imshow(uint8(C1)) imwrite(uint8(C), dct8x8min.jpg )

说明卷积编解码的工作原理，用Simulink仿真卷积编码，并用Viterbi译码的方法进行解码(Understand the convolutional codec works with Simulink simulation convolutional coding and Viterbi decoding method to decode)

该程序主要是利用matlab采集一个正弦波信号，这个正弦信号时加偏置的，然后将其转换成16进制，最后输出到txt文本当中。(In order to finish this task that we should be used for matlab program that it can let a sin. signal convert to hexadecimal and this singal add offset.The data ouput to txt.)

盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)

说明：  用matlab求多项式的实根解答的代码，其中包含多种方法。。。(Using matlab to answer the real roots of a polynomial code, which contains a variety of methods. . .)

说明：  matlab6.5那本书的代码，里面包含了那本书的所有源程序(matlab6.5 book ，so many things inside，thank you)