Dispersion-compensation-subsystems

遗传算法工具箱 // 蛮好使得 (genetic algorithm toolbox// makes very good)

上传的MATLAB代码是music算法在线阵和空间任意阵列下的形式，也可以将两者进行对比。(Upload music algorithm MATLAB code is any line array and space under the form of an array, you can also compare the two.)

How to access parallel port in MATLAB

偏微分方程组的求解，使用偏微分代码直接求解。(Solving partial differential equations, using partial differential code directly solved.)

圆阵在模式空间中的DOA估计，对比模式空间和非模式空间的估计结果(Circular array in the pattern space of the DOA estimation, spatial and non-contrast mode estimates of the pattern space)

基于BP神经网络的字符识别算法源代码，包括网络仅值训练方法，训练是通 过调用34个字符文件夹，识别率达到99.8 。(BP neural network-based character recognition algorithm source code, including the value of the network only training methods, training is by calling the 34-character file folders, the recognition rate of 99.8 .)

说明：  MATLAB图像处理源程序3：程序代码说明 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(MATLAB image processing source code 3: Procedure Code Description P0301: digital image data matrix display and Fourier Transform P0302: two-dimensional discrete cosine transform image compression P0303: using gray transform method to enhance the contrast of the image P0304: histogram equalization P0305: Simulation images by white Gaussian noise and Impulse noise impact P0306: 2D median filtering of function medfilt2 on the Salt and Pepper noise image filtering P0307: MATLAB functions filter2 mean filtering the noise in the image P0308: Image Adaptive Filter Weiner P0309: use five different gradient Enhancement Act for image sharpening P0310: the image of the high-pass filtering and mask handling P0311: use Butterworth (Butterworth) low-pass filter on the noise in the image smoothed P0312: use Butterworth (Butterworth) high-pass filter for image sharpening)

读取DR8的数据,作用的是matlab开发工具，希望对大家有所帮助。(read DR8 data using the matlab toolbox in windows enviroment.I hope this can help you.)

In this work, we are interested in the problem of the coding channel with impulsive noise, whose goal is to correct the errors due to the channel at the time of a numeric transmission. In particular, the convolutional turbocodes constitutes the last progress in this domain and it is very close to the theoretical limit predicted by Shannon in 1948. The objective of this work is to study and to test this coding with the modulation BPSK, to improve the bit error rate (BER) in presence a additive white impulsive GGD noise using the MAP algorithm.

说明：  matlab的学习教程，ppt格式，直接查看(matlab ppt)