chap_8

gives a nice phase portrait of dynamical systems

Overview The Simulink model shows an example how the Kalman Filter can be implemented in Simulink. The model itself is configured with a Gaussian process connected with a Kalman Filter. To directly use this model, one only needs to provide model prarameters including parameters of the Gaussian process, which are state space matrices, A, B, C, and D, initial state, x0, and covariance matrices, Q and R and similar parameters for the Kalman Filter, which can be in different values to mimic the model mismatch, plus the state covariance, P. The following examples show how this model can be used. The Kalman Filter can also be used as a standard model block to be connected with any other systems

Knapsack Problem. Russian version. Dynamic programming.

此程序有利于通信专业人士学习 IS-95标注。其中给出了物理层的仿真。(this program is conducive to communication professionals to learn IS-95 mark. Which is a simulation of the physical layer.)

GUI系统尽心Radon变化，所谓Radon变换，就是将原始图像变换为它在各个角度的投影表示。 (Radon dedicated GUI system changes, the so-called Radon transform, the original image is converted to its projection showing all angles.)

求一个复正弦加白噪声随机过程的信号： xn=exp(j*pi*n-j*pi)+exp(j*w0*n-j*0.7*pi)+v v(n)为零均值白噪声。S/N=10dB。取P=3，构造4阶的自相关矩阵R的基于MUSIC算法的功率谱估计的MATLAB程序(For a complex sinusoid plus white noise of the signal random process: xn = exp (j* pi* nj* pi)+ exp (j* w0* nj* 0.7* pi)+ v v (n) zero mean white noise. S/N = 10dB. Take P = 3, constructed of 4-order auto-correlation matrix R of the MUSIC algorithm based on power spectrum estimation procedure of MATLAB)

matlab 最速下降法 源码 关于最速下降法的一个matlab小程序(steepest descent method)

一个针对GIF图像的信息隐藏程序，gifshuf该版本为Windows版本(A GIF image for information hiding procedure, gifshuf the version of Windows version)

说明：  蚁群算法求解TSP问题,非常简单，绝对可用(ant swarm to solve the problem of tsp )

用matlab实现聚类集成算法的功能，内含三个聚类集成算法，结果取最优(Cluster ensemble)