DOA

利用K-L变换进行特征提取 通过类平均向量来实现类别投影 (By K-L transform feature extraction Through the kind of average vector to achieve category projection )

OFDM系统仿真，信号采用卷积编码和交织技术、采用16-QAM和QPSK两种调制方式，干扰分别采用多径衰落和瑞利衰落两种。(OFDM system simulation, signal the use of convolutional coding and intertwined technology, using 16-QAM and QPSK modulation in two ways, interference were used to multipath fading and Rayleigh fading two.)

matlab中支持向量机工具箱的使用以及一些常用函数的介绍！(Matlab support vector machine (SVM) is the use of some of the most common and toolbox of function is introduced. )

ch3=softt(h3,thr1 clear clc I=imread( lena512.bmp ) imshow(I) I=double(I) II=I+30*randn(size(I)) figure imshow(II,[]) [a1,h1,v1,d1]=dwt2(II, sym8 ) [a2,h2,v2,d2]=dwt2(a1, sym8 ) [a3,h3,v3,d3]=dwt2(a2, sym8 ) sigma=median(abs(d1(:)))/0.6745 x=3*sigma thr1=x*2^(-1) thr2=x*2^(-0.5) thr3=x 小波图像去噪( ch3=softt(h3,thr1 clear clc I=imread( lena512.bmp ) imshow(I) I=double(I) II=I+30*randn(size(I)) figure imshow(II,[]) [a1,h1,v1,d1]=dwt2(II, sym8 ) [a2,h2,v2,d2]=dwt2(a1, sym8 ) [a3,h3,v3,d3]=dwt2(a2, sym8 ) sigma=median(abs(d1(:)))/0.6745 x=3*sigma thr1=x*2^(-1) thr2=x*2^(-0.5) thr3=x )

在GUI中实现实现灰度转化，二值化处理及求反，加噪音和中值滤波(To convert an RGB image to a gray-scale image, binary image, add noise and filtering)

The program in Simulink to generate turbo codes

说明：  有详细的线性规划法源代码，可以用于控制器参数寻优(Detailed linear programming source code, can be used for controller parameters optimization)

说明：  simulink初学者快速入门的好帮手，我开始就是学的这个，很快入门(good)

说明：  一致性扩散原理求解偏微分方程，常用来进行超声图像的斑纹噪声消除算法(consistency proliferation principles of nonlinear partial differential equations, commonly used to stain the ultrasound image noise reduction algorithm)

通过极坐标变换获得图像的中心投影曲线，然后利用傅里叶变换获得图像的不变特征，从而实现对发生形变的物体的识别。(Polar coordinates to obtain the image through the center of projection curve, and then Fourier transform to obtain images of the same features, enabling the identification of objects deformation occurred.)