suanli

说明：  卫星信道中的调制识别的matlab仿真分析，很不错的(Satellite channels in the modulation recognition of matlab simulation analysis, it is good)

说明：  加权最小二乘法的原理 应用及其运算方式方法(Applying the principle of weighted least squares method and the ways and means of operation)

matlab分析激光及应用，包括条形腔，矩形腔，以及圆形腔的代码分析(matlab analysis of laser and applications, including strip chamber, rectangular cavity, and the code of circular cavity)

generate nrz code of given binary data

数值分析，对于普通的编程实现一定的算法有很大的帮组，这是本人作业，服役偶偶程序计一定的解释，希望能帮助到大家(In order to improve the adaptation property of the system by making the best of the direction of distribution of radar measurement errors, a optimum estimation algorithm for Kepler orbit is proposed, which yields a maximum likelihood estimation of the Kepler orbit with multi-spatio-temporal state based on both the preprocessing of the small manoeuvring model and the determining of initial value parameter with two spatio-temporal state. )

最小二乘优化算法。Matlab源码，直接可以使用。(Least Squares optimal affine subspace The zip includes: (1) lsqAffineSpace: a low level routine that takes a set of m-dimensional real sample data and returns the optimal-fit k-dimensional affine subspace, with some options for discarding outliers. (2) lsqPlane and lsqLine: lsqAffineSpace wrappers, that compute optimal line and hyperplane (plane, if the samples are 3-vectors) of the input samples. (3) lsqAffineTestScript: demonstrating usage of the functions.)

该算法是bimoment非线性归一化的改进，可以对最终的识别率有所提高，而且该算法能够自动的调整汉字的中心，并有很强的抗干扰能力(The algorithm is non-linear normalized bimoment improvements can eventually improve the identification rate, and the algorithm can automatically adjust the center of Chinese characters and has a strong anti-interference ability)

Antenna and EM Modeling with MATLAB

this project compares two text in txt format for plagiarisim detection.this script show how works winnoing method and return similarity in form of figure between 0 to 100.

function [a,b,err] = shanks(x,p,q) SHANKS Model a signal using Shanks method ---- Usage: [a,b,err] = shanks(x,p,q) The sequence x is modeled as the unit sample response of a filter having a system function of the form H(z) = B(z)/A(z) The polynomials B(z) and A(z) are formed from the vectors b=[b(0), b(1), ... b(q)] a=[1 , a(1), ... a(p)] The input q defines the number of zeros in the model and p defines the number of poles. The modeling error is returned in err.