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灰色系统预测，灰色系统的预处理，关联度分析(Grey system prediction, gray system pretreatment, association analysis)

Nonlinear Problem Files Collection (A collection of example programs and algorithms dealing with the solution of nonlinear problems. The following files are included (among others): damped Newton s method (see screenshot) Newton s method example, system case Fixpoint iteration. )

detect voice from signal of speach Voice Activity Detector (VAD) with MMSE a posteriori noise estimation and Decision-Directed SNR estimation

通过matlab仿真工具仿真分析了APSK调制方式在典型的加性高斯白噪声下的传输性能(Through simulation matlab simulation tool analyzes APSK modulation in a typical additive white Gaussian noise transmission performance)

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)

说明：  详细说明了ofdm的工作原理，并给出了实现的全部源程序。(OFDM detailed description of the working principle, and gives the realization of the full source code.)

matlab入门教程，初学者可以看一下，高手就算了。(matlab Tutorial, beginners can take a look, even if the master.)

Low Computational Iris Recognition Based on Moving Average Filter

本程序在matlab环境下，基于粒子群算法对pid控制器进行优化控制,从而完成性能更优(The program in matlab environment, based on particle swarm optimization algorithm pid controller to control, thus completing the better performance)

说明：  双稳态随机共振的一个仿真，随机共振的弱信号检测，运用朗格万方程进行MATLAB的仿真。(Simulation of a bistable stochastic resonance , stochastic resonance in weak signal detection , the use of Lange Wan equation for the MATLAB simulation)