MATLAB

说明：  数值分析-三样条差值函数计算给定点的值-三转角方法(Numerical Analysis- 3-spline function of calculating the difference of the value of a given point- 3 Corner Method)

灰色模型算法，通过改进之后，考虑了之后的误差处理，减少了因为数据变化太大而引起的预测不准确的现象。(Gray model algorithm, improvements, after taking into account the error handling, reduced because the data has changed so much caused by inaccurate forecasts phenomenon.)

说明：  粒子群算法 ，matlab M文件编程实现(Particle swarm optimization, matlab M File Programming)

整形规划-数值计算 Matlab 工具，可以用于科学计算，效果堪比 CPLEX-Plastic Planning - Matlab numericcal tools can be used for scientific computing, the effect of rivals CPLEX (Shaping planning- numerical Matlab tools can be used for scientific computing, the effect is comparable to the CPLEX-Plastic Planning- Matlab numericcal tools can be used for scientific computing Industries Integrated Service, and the effect of rivals CPLEX)

the threshold is determined and the foreground and background are seperated

matlab的经典算法程序。包括差值拟合与规划问题；绘图；数据分析与解方程等。还有ppt说明。(classic algorithm matlab program. Including the difference between the fitting and planning issues drawing data analysis and solution of equations and so on. There ppt instructions.)

基于有限序列的复杂性,说明有限序列的复杂性与哪些参数有关(on the complexity of finite sequences)

统一设定带宽、脉宽、采样率、脉冲重复频率，用Matab产生16个脉冲的LFM，每个脉冲有4个目标（低速，静止，高速，低速），第3个目标的距离、速度与学号有关。前3个目标的幅度相同，第四个目标幅度是前三个的一半。且距离与第2个静止目标相同。 依次做如下处理： 1 脉压 2 脉压后，相邻2脉冲做MTI（即相邻2个脉冲对应相减），产生15个脉冲 3 脉压后，16个脉冲到齐后，做MTD，输出16个多普勒通道 4 对MTD结果做CFAR（恒虚警） (Unified set bandwidth, pulse width, sampling rate, pulse repetition frequency, and produces 16 pulses Matab LFM, with four goals each pulse (low-speed, static, high-speed, low speed), the first three goals of distance, speed and Student ID related. The first three goals of the same magnitude, and the fourth target range is half of the first three. And from the stationary target with the first two the same. Followed by treatment as follows: 1 pulse 2 pulse pressure, the adjacent two pulses do MTI (that is adjacent to two pulses corresponding to the subtraction), resulting in 15 pulse 3 pulse pressure, 16 pulses in attendance after doing MTD, 16 Doppler channel output 4 MTD results do CFAR (CFAR))

计算矩阵序列的低秩近似，来至于论文一般的矩阵序列低秩近似。用matlab实现，能够有非常高的压缩率，而且能够重建原图像(We consider the problem of computing low rank approximations of matrices.)

This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn