MATLABFFT-harmonic-analysis

实现kalman滤波的函数，精华之处在于使用结构体操作，注释详尽。(This function realizes the kalman filter.its advantage is the excellent use of structure and the detailed comments.)

Iterative learning neural network control for nonlinear system trajectory tracking

LMS prediction algorithm for noise reduction

用matlab编写的基于自生成神经网络(self-generated neural network)的预测方法(包含数据集)(prepared using Matlab based on the self-generating neural network (self-generated ne ural network) forecasting methods (including data sets))

此程序为CMI编译码程序，详细的介绍了CMI调制原理及解调的原理及过程(This procedure for CMI encryption procedures, detailed introduction to the principles and process of modulation and demodulation principle CMI)

说明：  LQM算法 图像质量评估方面的 matlab语言编写的(LQM algorithm for image quality assessment)

该程序源代码实现了matlab通信系统性能的仿真，调制方式QPSK仿真(The source code implements communication system simulation matlab, modulation QPSK simulation)

use binomial model to price option price by matlab

利用kraken计算的声场信息，在matlab中仿真得到声传播损失(Calculated by kraken sound field sound transmission loss simulation in matlab)

数字基带传输系统的MATLAB仿真实现 function [sampl,re_sampl]=system_1(A,F,P,D,snr,m,N) 输入变量A ,F,P分别为输入信号的幅度、频率和相位，D为量化电平数，snr 为信道信噪比，N为D/A转换时的内插点数；输出变量sampl为抽样后的输入 信号，re_sampl为恢复出的输入信号。 数字基带传输系统的MATLAB仿真实现 [sampl,quant,pcm]=a_d_1(A,F,P,D) [changed_ami]=signal_encod_1(pcm) [ami_after_channel]=channel_1(changed_ami,snr) [adjudged_ami]=adjudg_1(ami_after_channel,m) re_pcm=signal_decod_1(adjudged_ami) [re_voltag,re_sampl,re_sampl1]=d_a_1(re_pcm,sampl,D,N)(Digital baseband transmission system implementation MATLAB simulation function [sampl, re_sampl] = system_1 (A, F, P, D, snr, m, N) input variables A, F, P, respectively, for the input signal amplitude, frequency and phase , D to quantify the number of electric-ping, snr for the channel signal to noise ratio, N to D/A converter when the interpolation points output variables for the sample after Sampl input signal, re_sampl for the restoration of the input signal. Digital baseband transmission system simulation MATLAB implementation [sampl, quant, pcm] = a_d_1 (A, F, P, D) [changed_ami] = signal_encod_1 (pcm) [ami_after_channel] = channel_1 (changed_ami, snr) [adjudged_ami] = adjudg_1 (ami_after_channel, m) re_pcm = signal_decod_1 (adjudged_ami) [re_voltag, re_sampl, re_sampl1] = d_a_1 (re_pcm, sampl, D, N))