jacobi

MIMO中的预编码方案,其中包括了匹配滤波、迫零、MMSE、最佳信漏噪比、块对角化等主流算法。( MIMO pre-coding scheme, which includes a matched filter, zero-forcing, MMSE, the best letter leak noise ratio, block diagonalization other mainstream algorithms)

模糊PID控制源程序.采样时间为1ms,在第300个采样时间时控制器输出加1.0的干扰.(Fuzzy PID control of the source code. Sampling time of 1ms, at No. 300 when the controller output sampling time add 1.0 interference.)

生成洛伦兹序列，主要是混沌工具箱里的东西(Generate the Lorentz sequence Chaos toolbox of things)

a dc-dc boost converter is implemented using matlab.

信道编码仿真模型 汉明码 RS码 BCH码(Simulation model of channel coding)

Generating Random Number with Multi-dimensional

线性鉴别分析方法，数据降维，图像处理，模式识别(LDA)

元胞自动机 nasch 模型！单条道路上模拟 的(a cellular automaton，nasch model on one lane)

釆用一个二阶系统的模型代替真实系统，其差分方程表达式为： 将此系统在计算机上仿真，输入信号u(k) 是幅值为1 的PRBS 信号，噪声e(k) 是（0，1）的正态分布序列，它的方差是可以调整的。这个系统的输出釆样值z (k) 与u (k) 作为已知数据，采用最小二乘法估计这个系统的参数。 (Preclude the use of a second-order system model instead of the real system, the differential equation expression: this system on a computer simulation, the input signal u (k) is the amplitude of the PRBS signal, and the noise e (k) (0 , 1) the normal distribution of sequence, its variance can be adjusted. The output of this system the Bian samples z (k) and u (k) as known data, the method of least squares to estimate the parameters of this system.)

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。该代码是求解RPCA的一种数值算法——Exact ALM（Exact Augmented Lagrange Multiplier）(The most basic form of the exact ALM function is [A, E] = exact_alm_rpca(D, λ), and that of the inexact ALM function is [A, E] = inexact_alm_rpca(D, λ), where D is a real matrix and λ is a positive real number. We solve the RPCA problem using the method of augmented Lagrange multipliers. The method converges Q-linearly to the optimal solution. The exact ALM algorithm is simple to implement, each iteration involves computing a partial SVD of a matrix the size of D, and converges to the true solution in a small number of iterations. The algorithm can be further speeded up by using a fast continuation technique, thereby yielding the inexact ALM algorithm.)