gold_code

this file contain matlab code for signal pocessing

complete EEG preprocessing

QPSK调制解调误码率及误符号率，相干解调，输出的bitber是误码率，symber是误符号率(QPSK demodulator BER and misuse of the symbol rate, coherent demodulation, the output is bitber BER, symber mistakenly Symbol Rate)

多输入多输出预测控制的源代码。里面有文章和相应的程序。有的程序可以运行，有的可能需要修改。(Multiple input multiple output predictive control of source code. There are articles and the corresponding program. Some programs can run, some may be modified. )

Upsample Resample Interpolation

simulink model of human lung. in matlab. There are useful analogies between electrical systems and other dynamic systems as can be seen in here

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

gps和惯性组合导航算法和kalman滤波算法，应用于组合导航(GPS and inertial integrated navigation algorithm and Kalman filtering algorithm are applied to integrated navigation)

NGAII变成程序求解经济调度，是多目标的，内涵PDF文件(NGAII into economic dispatch, solving process is the goal, the connotation of PDF files)

Chomsky文法的判断。0型1型2型3型的判断(Chomsky)