rbf_jm

A collection of useful tutorials and commands for easy reference and lookup of commands, I hope you like it

最近一直研究粒子群算法，发个例程大家交流一下(Recently has been studying the particle swarm algorithm, made a routine exchange of what we)

拉格朗日乘数法 ， 主要解决求多元函数条件极值的问题。任何一本《高等数学》，《多元微积分》的教材都会介绍(Lagrange multiplier method, mainly to address the requirements of multi-function conditions extremum. A " higher mathematics" , multivariate calculus textbooks will be introduced)

还是关于整个OFDMA系统的matlab仿真程序。没有文档说明。(Or on the entire OFDMA system matlab simulation program. There is no documentation.)

Cyclostationary feature analysis

Matlab的CHAN算法代码，包括算法文件和测试文件。适合初学者使用。(CHAN algorithm in Matlab code, including the algorithm files and test file. Suitable for beginners to use.)

利用经典music算法对来波方向进行仿真测向(Direction finding by music algorithm)

lsqr.m 基于QR正交分解的最小二乘法......(lsqr.m QRLS............................)

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

利用bp和ga网络对未来值进行预测，对输入数据进行归一化处理。(Use bp neural network to predict the future value of the input data normalization.)