matlab-femcode

很长的一个例子，说实话，我也看不懂。。这个是同学写的。(An example of a very long, I can honestly say I do not watch. . This is the Student Writing.)

Economic load dispatch in pattern recognition with losses

s-交织器，能对序列进行交织，保证交织序列交织分散(s-interleaver, can be interleaved sequence to ensure the cutting sequence spread intertwined)

编译好的Simulink-FuzzyPID模糊pid控制规则，通过对模糊规则的定义ki，kp，kd。(Compiled Simulink-FuzzyPID fuzzy PID control rules, through the definition of fuzzy rules Ki, KP, KD.)

直流有刷电机MATLAB模型(MATLAB model of DC brushed motor)

一个马尔可夫（MRF）图像分割MATLAB的源码,有30几个函数。Markov随机场的例子程序,对于初学入门MRF的人很有用,能得到直观的印象。(A Markov (MRF) image segmentation MATLAB source code, 30 a few functions. Markov random sample program, for beginners who are useful entry-MRF can get a visual impression.)

使用matlab实现混合图像的显示功能，使其随着距离的变化而显示出不同的图像(Using matlab hybrid image display function)

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

从simulink仿真可以看到瑞利衰落信道对于bpsk性能的影响。(Simulink simulation can be seen from the Rayleigh fading channel performance for bpsk.)

information theory using matlab