PESGM2008-000038

实现基于变步长LMS算法的自适应均衡器,滤波器阶数为2，输入信号为零均值，方差为1的高斯白噪声(implement an adaptive equlization basing on the changed_step LMS algorith)

一本关于PID控制的好书，包含各种PID控制，经典PID，模糊PID，神经网络PID，灰色PID，多变量解耦PID。书中附有大量的基于Matlab的仿真程序。 (A good book on PID control, including a variety of PID control, classical PID, fuzzy PID, neural network PID, gray PID, multivariable decoupling PID. Based on the book with a large number of the simulation program Matlab.)

觉得很好的一个Matlab论文想和大家一起分享，互相学习。(Find a good paper would like Matlab to share with everyone, learn from each other.)

train程序能进行语音模板训练，test来用识别，即模板匹配的过程，采用DTW算法，通过反复训练模板能有较高的识别率(run train.m for templats training,and test.m for templates matching by using DTW.)

QAM,PSK,DPSK,FSK,MSK调制仿真，包括眼图输出，误码率输出，星座图，频谱，及实际wav文件的调制解调(QAM, PSK, DPSK, FSK, MSK modulation simulation, including eye diagram output, the output BER, constellation, spectrum, and actual modem wav files)

混沌时间序列Matlab源程序,包含时间序列的时间延迟计算，关联积分计算，相空间重构，时间序列分解，Heaviside函数的计算，延迟时间和时间窗口计算，混沌吸引子关联维计算，重构相空间进行K_L变换，混沌吸引子关联维计算，Hurst指数分析，关联维和Kolmogorov熵计算，FFT计算序列平均周期，最大lyapunov指数计算，利用互信息法求时间延迟，混沌和噪声识别的源程序。(Matlab chaotic time series source, time includes the time series of delay calculation, correlation integral calculation, phase space reconstruction, time series decomposition, calculated Heaviside function, the delay time and the time window calculated correlation dimension of chaotic attractors calculated reconstruction phase space K_L transform computing correlation dimension of chaotic attractors, Hurst exponent analysis, correlation dimension and Kolmogorov entropy calculation, FFT calculation sequence averaging period, maximum lyapunov index, mutual information method the time delay, chaos and noise source identification.)

color transformation by matlab

差分空时编码MATLAB源仿真代码，有图有真相哦(Differential space-time coding MATLAB the source simulation code, pictures and the truth Oh)

matlab 数字变声器 可变多种项目 报告附(matlab Digital voice changer)

压缩感知的一个经典算法，即SL0算法，在MATLAB7.0下已实现 (A classic compressed sensing algorithm, SL0 algorithm has been achieved under the MATLAB7.0)