Matlab

一个PCA的Matlab程序实例，应用于多维参数的自动降维和分类(The Matlab program example of a PCA applied to the automatic multi-dimensional parameter dimension reduction and classification)

p1 - the first parent p2 - the second parent bounds - the bounds matrix for the solution space Ops - Options matrix for simple crossover(p1- the first parent p2- the second parent bounds - the bounds matrix for the solution space Ops - Options matrix for simple crossover)

lu分解发解方程组 输入矩阵大小范围 小于10 采用地迭代法完成(lu decomposition made solving system of equations)

主要是针对lorenz系统时延同步进行仿真(Synchronization for lorenz system delay simulation)

说明：  室内定位时差定位算法。包括 chan算法，fang算法。功能是实现室内定位。在3到7个接收基站的基础上，获得较高精度的定位(Indoor location TDOA location algorithm. Including Chan algorithm and Fang algorithm. Function is to achieve indoor positioning. On the basis of 3 to 7 receiving base stations, high precision positioning can be achieved.)

这是仿真多普勒频移对脉压影响的程序，采用Matlab编写。(this is a program about the effect of the Doppler shift on PC.)

This is a model of a QPSK modulation system for transmission over a bandpass channel with fc = 100 Hz and B = 30 Hz and AWGN at the receiver. SRRC fi lters with excess bandwidth α = 0.18 are employed. The receiver includes an NDA timing recovery loop followed by a DD phase recovery loop. The transmitter?s symbol period is T and set to a value of 100 ms. The symbol period at the receiver is Tr. The model will produce six windows: Two constellation plots and two eye diagrams (for the real part only), at the output of the matched fi lters and after the recovery loops a plot of the phase error (output of the NCO) and a plot of the fractional timing error (used in the interpolator). The frequency off set at the receiver is denoted by deltaf. The model simulates the transmission of 8000 QPSK symbols.

matlab code for orbit design

对EMD分解的改进，消除了EMD分解过程中的模态混叠现象，可以得到更准确的IMF分量(EMD decomposition for improvement, eliminating the EMD decomposition process modal aliasing, you can get a more accurate IMF components)

利用模拟退火算法求解已知函数的最小值，即模拟退火算法寻优问题，可以广泛推广。(Using simulated annealing algorithm to solve the minimum of the known function, that is, the simulated annealing algorithm optimization problem, can be widely promoted.)