fir

我自己写的svm的支持向量机，希望对学习模式的有用(I wrote it myself svm support vector machines, and they hope to learn a useful model)

在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。(In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to find C a cluster center, each cluster center represents a kind of center. Then the samples are classified to the nearest cluster center with the type. C' s choice is a priori knowledge or experience through the selected. Cluster center is obtained through the iterative algorithm.)

matlab程序画图，常见分形图，function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 (matlab program drawing, common fractal images function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 )

基于波形分集的雷达抗距离欺骗干扰方法（二）的仿真，仿真采用了简单的线性调频信号和时域脉压(Radar distance deception jamming resistance method based on waveform diversity (2) simulation, the simulation using the simple linear frequency modulation signal and the time domain pulse pressure)

SVPWM的matlab仿真模型，基于simulink搭建，完美实现两电平逆变输出。附带svpwm算法及实现过程，适合自学研究。(SVPWM matlab simulation model, based on simulink structures, the perfect realization of two-level inverter output. With svpwm algorithm and implementation process, suitable for self-study.)

Pso matlab program，粒子群matlab计算程序，具体看内部注释(Pso matlab program, Particle Swarm matlab calculation program, specifically to see the internal comments)

说明：  实现合成孔径成像的三种算法，包括RD（距离多普勒）、RMA（距离徙动）、CS（Chirp Scaling）(Three algorithms for SAR imaging, including RD (Range Doppler), RMA (Range Migration) and CS (Chirp Scaling))

模拟QPSK发射和接受的一个程序，带I-Q修正，对于理解QPSK有很好的作用(QPSK Transmitter and I-Q Correlation Receiver)

gaussian mixture and em algorithm

this is file for traffic networks benchmarks...