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Matlab中虽然有很多解方程的函数，但对于一般线性方程，有无穷个解时，却不能算出一个特解和基础解系，这几个函数可以实现这个功能。(Matlab Although there are many solutions to the equation function, but for the general linear equations, Infinite Solutions months, they can not penetrate a special solution and infrastructure solutions, which have several functions to achieve this function.)

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

AR模型参数BURG算法估计的功能函数及源代码(BURG AR model parameter estimation algorithm performance function and source code)

地震波场模拟，二维声波模拟！未加边界条件，新手学习还是可以滴！(2D seismic wave forward modelling)

用于提取chebeshev滤波器的传输零点的一个小程序(Chebeshev filter for extracting a small program transmission zeros)

说明：  nc文件读读取及使用（经纬度的使用），限新手们，juju勿入。(File reading, reading and use (latitude and longitude).)

LSSB调制解调的MATLAB演示源程序产生消息曲线 载波曲线 频谱曲线等(LSSB modulation and demodulation of MATLAB source generated news demo curve carrier curve spectrum curve)

Recent adaptive filters

1 chaos_draw_GCM.m 基于最大标准差绘制的大域耦合相图（GCM）；2 chaos_GCM.m 特定参数下的大域耦合状态变量的值的时域及频域图； 3 chaos_simple.m 混沌对初始条件敏感的实验； 4 ICAS.m ICAS系统的评价数据处理； 5 julia.m 朱莉娅集的绘制； 6 logistic.m 逻辑斯蒂克集的稳定点关于参数u的分布(1 chaos_draw_GCM.m drawn based on the maximum standard deviation of the big field coupling phase diagram (GCM) big field coupling state variable 2 chaos_GCM.m special parameter values ​ ​ in the time domain and frequency domain 3 chaos_simple.m Chaos sensitive to initial conditions experimental evaluation data processing 4 ICAS.m ICAS system draw 5 julia.m Julia sets stable point 6 logistic.m logic Si Dike set of parameter distributions u)

一篇2007年全国数学建模的优秀获奖论文，有助于预测问题的数学建模的写作。(An excellent winning paper of the mathematical modeling in 2007, writing help predict problems of mathematical modeling.)