bpsknqpskmodulationsrinivaas

该算法是经典的信噪比估计算法——误差矢量幅值法，通过计算接收信号中同相分量和正交分量的二、四阶矩，该算法能够很好的估计信号的信噪比(The algorithm is a classic signal to noise ratio estimation algorithm- the error vector magnitude method, by calculating the received signal with the phase component and quadrature component of the second, fourth-order moment, the algorithm can estimate a very good signal to noise ratio)

人眼定位与人脸检测的程序，包含程序和仿真，效果不错！(code for Eye position and face detection , including procedures and simulation, the performance is good! )

非常好用的卡尔曼滤波程序，里边还有一个word文档说明，希望对大家有帮助(Is very nice of kalman filtering program, containing a word document, I hope it can help you )

自适应并行陷波器,采用了陷波器的并行结构(adaptive lms)

适合信号处理的人看，对于学习信号处理的人很有用。(People will look for signal processing, signal processing for people to learn is useful.)

smart antenna and adaptive antenna array beamforming

快速傅里叶变换 它的主要功能是用fft变换然后识别文字(FFT ,it is used to fft and recogonize chinese )

M=512 原图像长度 N=64 K=8 I=zeros(M,M) J=zeros(N,N) BLOCK=zeros(K,K) 显示原图像 I=imread( f:ceshiyuanshitu.bmp ) figure imshow(I) xlabel( 原始图像 ) 显示水印图像 J=imread( f:ceshilogistic_nuaa64.bmp ) figure imshow(J) xlabel( 水印图像 ) 嵌入水印 tem=1 for p=1:N for q=1:N x=(p-1)*K+1 y=(q-1)*K+1 BLOCK=I(x:x+K-1,y:y+K-1) BLOCK=dct2(BLOCK) if J(p,q)==0 a=-1 else a=1 end BLOCK(2,1)=BLOCK(2,1)*(1+a*0.01) BLOCK=idct2(BLOCK) I(x:x+K-1,y:y+K-1)=BLOCK end end 显示嵌入水印后的图像 figure imshow(I) xlabel( 嵌入水印后的图像 ) imwrite(I, f:ceshiembedded.bmp )

M次方谱估计可以同时估计psk信号的码元速率和载波频率。mpsk函数和test_signal在cwt压缩包内。(M th spectral estimation can estimate the symbol rate and carrier frequency qpsk signal. mpsk function and test_signal in cwt compressed package.)

说明：  基于matlab搭建PMSM基础控制模型，采用双环PI控制策略。(PMSM basic control model was built based on matlab, and double-loop PI control strategy was adopted.)