matlabppt

数值分析中基于Matlab环境下的Gauss全主元消去法的源代码(Numerical analysis in Matlab environment based on principal component elimination method Gauss full source code)

采用单一感知器神经元解决一个简单的分类问题，将四个输入矢量分为两类，其中 ％ 两个矢量对应的目标值为1，另两个矢量对应的目标值为0(single perceptron neural yuan to solve a simple classification, four input vectors are divided into two categories. 2% which the vector corresponding to a target value, and the other two vector corresponding to the target value of 0)

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说明：  信号过rayleigh信道并加均衡的程序(Over rayleigh channel signal and add a balanced program)

Advanced Programming in MATLAB

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.)

MATLAB矩阵计算大全 Matlab常用的矩阵计算函数命令 (MATLAB matrix calculation used Daquan Matlab matrix to calculate the function command)

基于MATLAB的pso算法的测试函数Schwefel函数(Test function Schwefel function of PSO algorithm based on MATLAB)

编写了一种代数重建算法的投影系数计算程序，可用于物体的三维恢复计算。(The projection coefficient of the algebraic reconstruction technique was developed.)

对于一个给定的离散随机序列，用间接法进行三阶累积量谱的估计，并分别用四种不同窗函数，包括Hamming窗、Sasaki窗、Parzen窗、daniell窗等。(For a given discrete random sequence, using the indirect method for third-order cumulant spectrum estimation, and were four different window functions, including the Hamming window, Sasaki window, Parzen window, daniell windows.)