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MATLAB程序设计教程》源代码-2660 MATLAB程序设计教程》源代码-2660 MATLAB程序设计教程》源代码-2660 MATLAB程序设计教程》源代码-2660(MATLAB Programming Guide, )

二进制LDPC构造方法，MAKEY方法是初级LDPC学习的编码方法(Binary LDPC constructor, MAKEY is the primary method of LDPC coding learning)

this code contain severel method of satellite image fusion

通过图像，变换相位及幅度，验证傅里叶变换以及其反变换，(Verify the image by Fourier transform)

说明：  边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)

光学波导理论计算，通过各种不同的计算方法解决波导中各种麦克斯韦方程和薛定谔方程，(Introduction to Optical Waveguide Analysis，Through a variety of different calculation methods to solve Maxwell s equations in a variety of waveguide and the Schrodinger equation)

detection for face image in matlab code

读取两个文件夹中对应的图像，将两幅图像进行小波分解，修改小波系数将两幅图像的小波系数进行融合，融合后进行反变换，得到小波分解融合后的图像。(Read the two folders corresponding image, two images using wavelet decomposition, wavelet coefficients modified wavelet coefficients of the two images are fused fusion inverse transform, wavelet decomposition obtained after fusion.)

ESQ measure: ------------- Usage of the PESQ objective measure is as follows: [pesq_mos]=pesqESQ measure------------- Usage of the PESQ objective measure is as follows: [pesq_mos]=pesq(cleanfile.wav,enhanced.wav) where cleanfile.wav contains the clean speech file and enhanced.wav contains the enhanced file. ------------------------- Loizou, P. (2007) "Speech enhancement: Theory and Practice", CRC Press. Any questions, please email: loizou@utdallas.edu.(ESQ measure------------- Usage of the PESQ objective measure is as follows: [pesq_mos]=pesq(cleanfile.wav,enhanced.wav) where cleanfile.wav contains the clean speech file and enhanced.wav contains the enhanced file. ------------------------- Loizou, P. (2007) "Speech enhancement: Theory and Practice", CRC Press. Any questions, please email: loizou@utdallas.edu)

whatershed image processing