Qpskv3prof

自学matlab的60个小程序，很有用哦~~(60 small self-matlab procedures, very useful Oh ~ ~)

数值分析中经典的arnoldi算法，用来求解大型矩阵方程组的求解(numerical analysis classic arnoldi algorithm used to solve large matrix equations Solution)

matlab中的数字滤波器:butterworth滤波,besself滤波,chebyshev type1（2）滤波,椭圆滤波(Matlab the Digital Filter : butterworth filtering, besself filtering, chebyshev type1 (2) filtering, elliptic filter)

基于clean算法的雷达多目标分离与提取(Based on the clean radar multi-target separation and extraction of the algorithm)

接收端自适应均衡器的LMS算法MATLAB仿真实现(Receiver adaptive equalizer of LMS algorithm MATLAB simulation)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

认知无线电中认知用户退避策略建模 ,指数退避策略(Cognitive radio users in cognitive avoidance strategy modeling, cognitive radio users in cognitive modeling strategy retreat, exponential backoff strategy)

冈萨雷斯数字信号处理书中部分matlab源码，和示例(image encoding)

随机权神经网络预测光伏电池的光功率的matlab仿真源代码(A random vector functional link network (RVFLN)It is proved that the RVFLN not only trains much faster with good generalization performance, but also overcomes some pos- sible fl aws (such as the low convergence rate and the local minimum) of the BP algorithm. But poor quality RVFLN is usually obtained whenever the training data are corrupted with outliers.)

用matlab求两个向量的相关函数，可以直接执行(Using matlab for the correlation function of two vectors can be directly executed)