QAM OFDM的简单模拟

image compression using Neural Network with psnr

统计代码行、注释行、空行、同时统计函数个数和行数，将代码、注释和空行进行风格评分 (Statistical lines of code, comment lines, blank lines, while the number of statistical functions and the number of rows, the code, comments and blank lines carry style ratings)

深度学习工具包，内有各大牛提出深度学习方法的matlab实现，挺全的(Deep learning toolkit, there are major cattle raised deep learning method matlab realize, quite wide)

说明：  K-SVD算法程序，利用聚类算法对字典进行训练(K-SVD algorithm program, the use of clustering algorithm is trained on a dictionary)

牛顿和拉格朗日插值多项式曲线拟合书面作业。它包括： (i) 由一个三次多项式曲线拟合 ； (ii) Newton 插值多项式 ； (ii) 拉格朗日插值多项式。

本程序为无迹卡尔曼滤波(ukf)的程序代码，可供初学者学习。(The procedures for unscented Kalman filter (ukf) code, for beginners to learn.)

孔径雷达图像固有的相干斑噪声严重降低了图像的可解译程度，影响了后续目标检测、分类和识别 等应用。因此，SAR图像的相干斑抑制问题一直是SAR图像应用的重要课题之一。一个理想的去斑算法应该在平 滑的同时保持图像的边缘等细节不受损失，目前存在各种各样的算法，但没有一种方法能够完美的满足这一要求。 本文对SAR图像的相干斑抑制问题进行了全面系统的研究，分析了相干斑的形成原因，总结了目前存在的相干斑 抑制算法的主要思路，介绍了具有代表性的算法，并对各种算法的性能进行了定性分析和比较，给出了去斑算法定 量评估方法(The inherent speckle noise of the aperture radar image seriously reduces the degree of interpretation of the image, and affects the detection, classification and recognition of the subsequent targets. And other applications. Therefore, the problem of speckle suppression in SAR images has been one of the most important topics in the application of SAR images. An ideal speckle algorithm should be flat At the same time, the details such as edges of images are not lost. There are various algorithms at present, but none of them can satisfy this requirement perfectly.)

说明：  傅里叶谱与频域低通滤波 (a)从图书网站下载图4.41(a)并计算其(居中)傅里叶谱。(b)显示频谱。(c)在等式(4.8-7)中实现高斯低通滤波器。您必须能够指定结果2D函数的大小，M x N。此外，您必须能够指定高斯函数的中心位置。(d)从图书网站下载图4.41(a)，并对其进行低通滤波，以复制图4.48中的结果。(Fourier Spectrum and Lowpass Filtering in Frequency Domain (a) Download Fig. 4.41(a) from the book web site and compute its (centered) Fourier spectrum. (b) Display the spectrum. (c) Implement the Gaussian lowpass filter in Eq. (4.8-7). You must be able to specify the size, M x N, of the resulting 2D function. In addition, you must be able to specify the location of the center of the Gaussian function. (d) Download Fig. 4.41(a) from the book web site and lowpass filter it to duplicate the results in Fig. 4.48.)

说明：  内附matlab常用命令，详细列举了各个命令的中英文对照，方便学习。(Matlab commonly used commands included in detail the various commands listed in Chinese and English to facilitate learning.)

It is the document related to noise reduction