matlab-code

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

线性预测LSM预测器，可以完成对信号的预测功能(adaptive linear prediction)

粒子群算法及其改进，在原有粒子群算法基础上进行改进，增加免疫算法，使其尽快跳出早熟，收敛更快，结果更优！(Particle swarm optimization (PSO) and its improvement are improved on the basis of the existing particle swarm algorithm, and the immune algorithm is added to make it jump out of premature, faster convergence and better results)

该压缩包具有35例GUI的设计，主要是带大家入门用的(The archive has 35 cases of GUI design, the main entry is used with all)

神经网络控制 徐丽娜 多变量控制系统以及辨识(Neural network control of the the Lina multi-variable control system and identification)

Understanding the Software Communications Architecture

3x3 homography matrix

小波包分析提取振动信号中的特征频率，最终的权值矩阵就是滤波器的系数，可直接计算得到多重分形谱。( Wavelet packet analysis to extract vibration signal characteristic frequency, The final weight matrix is ??the filter coefficient, It can be directly calculated multi-fractal spectrum.)

说明：  识别五官的matlab代码,对五官进行框选。(a matlab code on solving face-recognization)

元胞自动机的matlab程序。 元胞自动机（CA）是一种用来仿真局部规则和局部联系的方法。典型的元胞自动机是定义在网格上的，每一个点上的网格代表一个元胞与一种有限的状态。变化规则适用于每一个元胞并且同时进行。典型的变化规则，决定于元胞的状态，以及其（ 4或8 ）邻居的状态。元胞自动机已被应用于物理模拟，生物模拟等领域。(Cellular Automata matlab procedures. Cellular Automata (CA) is a simulation used to contact the local rules and local approach. A typical cellular automaton is defined in the grid, each grid point represents a cell with a limited state. Changes in the rules applicable to each cell and at the same time. Typical changes in the rules of decision in the cellular state, as well as its (4 or 8) neighbor state. Cellular Automata have been used in physical simulation, biological simulation and other fields.)