8PSK

自动绘制PDB分子结构的matlab脚本程序包 界面友好，图像很精美。(Automatic drawing PDB molecular structure of matlab scripts package user-friendly, image is very beautiful.)

it deals wid clour segmentation of rgb image.....

自己写的costas信号程序，需要的可以下载(I wrote it myself costas. A friend in need can be downloaded.)

这为一个通过频域重构方法获得ＳＡＲ信号点目标的ＭＡＴＬＡＢ仿真软件，是微波成像雷达领域的一个极好的软件(This is a reconstruction obtained by frequency domain SAR signal point target MATLAB simulation software, is the field of microwave imaging radar, an excellent software)

觉得好才穿上来的 计算二维轮廓曲线的维数源代码(Feel good to wear only the calculation of the dimensions of two-dimensional outline curve source code)

说明：  噪声调频干扰信号的matlab仿真实现，其中包含成像的提取程序(SAR jamming of noise moding frequency)

transfer function of a system

产生一个随机信号和两个不同频率但频率间隔很小的正弦信号，要求对两信号之和进行如下分析： （1） 求该随机信号的自相关性系数、自相关函数，画出对应的图形； （2） 利用不同的参数建模方法求出两个随机信号的功率谱； （3） 利用极大似然估计、递推最小二乘法等常用的参数估计方法估计所建模型，包括AR模型、MA模型和ARMA模型的的参数，阶次自定；并与Matlab工具箱里的一些建模函数的运算结果进行比较； （4） 利用陷波滤波和MUSIC滤波方法对该信号的频谱进行估计； （5） 利用Wiener滤波、LMS滤波对该含噪声的正弦信号进行去噪声处理； （6） 假设该信号是一个飞行器的某个方向的线位移信号，可否利用Kalman滤波对该信号进行滤波？ （7） 利用高阶谱理论对该信号进行谱估计和相应的AR模型、MA模型和ARMA模型估计； （8） 利用小波变换（变换函数可以直接用Matlab里的函数）对该信号进行去噪声处理，并和前面的去噪声方法进行比较。 (Produce a random signal and two different frequency but frequency interval small sine signals, required to make the following analysis of two signals: (1) for the random signal from the correlation coefficients, the autocorrelation function and draw the corresponding graphics (2) make use of different parameters modeling method for out two random signal power spectrum (3) using maximum likelihood estimation, recursive least square method and common parameters estimation method estimates that the model, including AR model, MA model and the parameters of the ARMA model we, order time decided oneself With Matlab toolbox and some of the modeling function is used compared the (4) use trapped wave filter and MUSIC of the signal filter method of spectrum to estimate (5) use Wiener filtering, LMS filtering on the sinusoidal signal with noise to noise treatment (6) assumes the signal is a vehicle of a certain direction of displacement signal line, can you use Kalman filtering on the)

说明：  采用粒子群算法对单时段的机组组合进行寻优。(Particle swarm optimization (PSO) is used to optimize unit commitment in a single period of time.)

will implement either Jacobi, Gauss-Seidel or SOR iterative techniques to solve the problem