mTSP1zipa

kernel 标准相关分析，将相关信息映射到同一空间。用于Data Mining，pattern classification(KCCA used for Data mining and Pattern Classification)

流形学习算法LTSA的线性化方法，在基因分类聚类中得到了应用，可以将新样本线性地投射到低维空间。(LTSA manifold learning algorithm of the linearization method, clustering in gene classification has been applied to new samples can be projected onto the linear and low-dimensional space.)

赤池准则 可以实现噪声检测 P波震相捡拾 S波震相捡拾等地震学基本操作等(Akaike criterion can achieve noise detection P-wave seismic phase picking S phases pick up basic operations such as seismology, etc.)

数字波束形成方法，去噪算法研究，线性最小化方差方法，旁瓣特性(Digital beamforming methods Denoising Algorithm, linear minimum variance method, sidelobe characteristics)

use for image processing in matlab

这是关于没分燃烧的udf，同学们可以借鉴，利用的是二阶矩模型(this is a combustion udf,which was using the second ju model ,you can use it for referance)

关于超声波倒车雷达测距的，计算多重分形非趋势波动分析，计算一维光子晶体的透射特性和反射特性。( About ultrasonic parking radar ranging, Calculate the multifractal trend fluctuation analysis, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals.)

利用MATLAB仿真设计的补偿器，仿真效果好是第一步，接下来还应该带入到实验数据中分析补偿器的效果对动态性能指标的改善情况。该程序作用：验证各种实验数据输入下，性能指标的改善(Using MATLAB simulation of the compensator design, simulation is the first step to good effect, then should also be brought to the experimental data analysis of the effect of compensator on dynamic performance targets to improve the situation. The role of the program: to verify the importation of a variety of experimental data, the performance indicators to improve)

面板数据模型matlab，可以直接编译运行(Panel data model matlab, can direct the compiler to run)

[x,f]= L01p_e(c,A,b,N)用枚举法求解下列 0-1线性规划问题min f=c *x, s.t. A*x<=b,x的分量全为整数0或1, 其中N表示约束条件 Ax ≤ b中的前N个是等式，N= 0时可以省略。 返回结果x是最优解，f是最优解处的函数值。 ([X, f] = L01p_e (c, A, b, N) with the following enumeration method for solving linear programming problems 0-1 min f = c ' * x, st A* x < = b, x is an integer of all components 0 or 1, where N represents the constraints Ax ≤ b in the equation of the first N, N = 0 can be omitted. Return result x is the optimal solution, f is the function value at the optimal solution.)