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说明：  基于小波的图像压缩的MATLAB程序，可以运行，我试验过(Wavelet-based image compression MATLAB program, you can run, I tried)

amplitude modulation in matlab

应用matlab来分析电子电路的教程。 全书包括十二个章节。(Application of matlab to analyze electronic circuits tutorial. Book includes 12 chapters.)

Adaboost 算法的示例程序。简单且容易理解。请对照WikiPedia关于Adaboost的介绍阅读。(An example of adaboost algorithm. )

高阶统计量目前应用越来越广泛，它比现在的一般统计量更能反应信号的特征，具有很好的应用前景。(Order statistics used widely at present, it is the general statistics than it is now more characteristic response signals, with good prospects.)

说明：  BPSK仿真 仿真了在瑞利信道和加性高斯白噪声 下的调制和解调及误码率(The simulationof bpsk, input the signal in Rayleigh and awgn)

提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。(Extraction based on instantaneous information signal of seven characteristics: zero center normalized instantaneous amplitude of the maximum power spectral density, zero-center normalized standard deviation of the instantaneous rate of absolute zero center section of non-weak signal instantaneous phase nonlinear component absolute value of standard deviation, non-zero center section of the weak signal non-linear component of the standard deviation of the instantaneous phase, zero-center non-normalized absolute value of the weak signal section of the standard deviation of the instantaneous frequency of a signal segment of the normalized power spectral density of instantaneous frequency maximum, according to the signal QPSK and 16QAM in the XI-axis projection of the different performance of the proposed characteristic parameters.)

Magnus Norgaard s NEURAL NETWORK BASED SYSTEM IDENTIFICATION TOOLBOX Version 1.1 Department of Automation Building 326 2800 Lyngby, Denmark Technical University of Denmark

国外网站下载的关于MPC预测控制的matlab仿真程序，绝对好用，主要是在SIMULINK环境下运行(PBPK Simulator Model Predictive Control of the Intravenous Administration of Drugs- Simulation Framework.)

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)