mask_filter

FFA（快速折叠算法），实现噪声中的周期信号检测，及周期估算(FFA (fast folding algorithm), the realization of the periodic signal in noise detection, and cycle estimates)

说明：  一些关于神经网络控制的例程，有需要的可以参考。(some of the neural network control routines that are needed for reference.)

数字图像处理和机器识别C++和matlab识别书籍第三部分，讲解详尽，适合学习(Digital image processing and machine identification C++ and matlab identification books first part, explain the detailed, suitable for learning)

针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算 法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相 结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.(Image distortion for high-precision, a least-squares image matching based on high-precision image distortion correction algorithm. First of all, the use of feature extraction algorithm for edge detection and image pre-processing, and will feature matching with a combination of least-squares algorithm in order to achieve the image and the template between the sub-pixel accurate positioning and matching. The experimental results show that the algorithm has better accuracy of the solution to the current distortion prevalent image correction algorithm to match the accuracy of the positioning and less defects, image correction effect well, is an effective algorithm to correct image distortion.)

基于互谱的盲信道辨识与均衡.单输入两输出情况(两接收天线）.支持M-PAM、QAM两种调制方式 (Cross-Spectrum Based Blind Channel Identification and Equalization: Methodology and MATLAB Code)

这是一个音频特征提取的matlab源代码(This is an audio feature extraction matlab source code)

c++的各种例子，例如继承，重载，容器，迭代子，vector，多态，模版，虚函数，友元，指针，作用于等等，超级多的例子，每个例子都是用中文标识，对学习c++的朋友很有帮助。(Various examples of c++, such as inheritance, overloading, containers, iterators, vector, polymorphism, templates, virtual functions, friend, pointer, acting, etc. Super Multi example, each of the examples are used to identify Chinese for learning c++ helpful friends.)

L1 magic L1eq_pd. This code solve linear problem with l1 minimization method.

matlab檔案，用於讀取nmea檔案，將NMEA檔案輸出成一個Class架構值(read and parsing NMEA file)

從網路取得關於自相關log-polar變換的實作。(Obtained from the network on the autocorrelation of the log-polar transform implementations.)