matlab4.2_numerical_method_and_programming

mcmc 马尔可夫链 蒙特卡罗算法 具体参数 请用help命令(MCMC Markov chain Monte Carlo algorithm specific parameters Please help command)

【matlab编程代做】史密斯圆图演示 在编程的时候可以作为参考使用学习下([Do] matlab programming on behalf of the Smith chart demonstrates the programming when you can use as a reference under study)

fault detection and classification

用matlab实现AWGN信道下BPSK调制方式(Matlab 实现 AWGN channel with BPSK modulation under)

抽取法产生m序列优选对，并产生与之对应的所有Gold序列；做出了Gold码的自相关与互相关函数；验证了Gold码的个数(Extraction method m sequence pairs, and generate the corresponding Gold sequence to make a Gold code autocorrelation and cross correlation function to verify the number of Gold codes)

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.)

连续潮流法求最邻近电压稳定点，程序实现算法(POINT OF COLLAPSE AND CONTINUATION METHODS FOR LARGE)

PHASE SHIFT KEING MODULATION TECHNIQUE FOR COMMUNICATION

matlab pid matlab pid matlab pid (matlab pidmatlab pid matlab pid)

说明：  matlab 利用fisher线形判别方法进行模式识别(Matlab using linear discriminant method for pattern recognition)