OFDM_tutorial

模糊神经解耦,比较长,这个程序对做解耦控制有帮助.(Fuzzy Neural Decoupling, relatively long, the process of decoupling control so helpful.)

例3：分析占空比为ta的矩形脉冲频谱 T=1 时间窗大小 ta=0.5 占空比 N=256 t=linspace(-T,T,N) ts=2*T/N fs=1/ts (x=zeros(1,N) x(N/2-round(N/2*ta):N/2+round(N/2*ta))=ones(1,2*round(N/2*ta)+1) y=fft(x,N) figure plot(t,x) title([ 时域信号图 占空比为 ,num2str(ta)]) axis([-T T-0.2 1.2]) xlabel( t /s ) figure subplot(211) f=linspace(-fs/2,fs/2,N) plot(f,abs(fftshift(y))/N) title([ 矩形脉冲双边谱 脉冲时间t=[- ,num2str(ta*T), , ,num2str(ta*T), ] ]) xlabel( f /Hz ) )

对不同距离的雷达回波进行脉冲压缩处理，观察脉冲压缩后的回波信号，分析个参数对其的影响(Distances for different pulse compression radar echo , the echo pulse compression observed signal parameters and the effects of )

利用MATLAB中的m文件和Simulink共同实现radar的仿真！(M in the use of MATLAB and Simulink document to achieve a common radar simulation!)

说明：  用MATLAB生成bpsk信号，并通过AWGN信道的仿真(MATLAB bpsk signal generation, and through the AWGN channel simulation)

说明：  一个关于主成分分析的matlab演示，十分有用(A principal component analysis on matlab demo, very useful)

Numerous industrial applications have begun to require higher power apparatus in recent years. Some medium voltage motor drives

matlab中的dct变换，在图像中利用dct变换嵌入水印，并提取(The dct matlab transformation in the image watermarking using dct transform, and extract)

本Matlab程序对预测控制中的DMC算法进行了仿真(The Matlab program DMC predictive control algorithm for the simulation)

本文介绍了基于MATLAB的语音识别系统，包括对语音信号的特征提取，包括语音信号的特征提取，快速傅立叶变换，离散余弦转换，线性预测分析，梅尔频率倒谱系数以及高斯混合模型。(This paper aims at development and performance analysis of a speaker dependent speech recognition system using MATLAB® . The issues that were considered are 1) Can Matlab, be effectively used to complete the aforementioned task, 2) Accuracy of the Gaussian Mixture Model used for parametric modelling, 3) Performance analysis of the system, 4) Performance of the Gaussian Mixture Model as a parametric modelling technique as compared to other modelling technique and 5) Can a Matlab® based Speech recognition system be ported to a real world environment for recording and performing complex voice commands. The aforementioned system is designed to recognize isolated utterances of digits 0-9. The system is developed such that it can easily be extended to multisyllabic words as well.)