Gaussm0v0.005

跳频（占空比为1）4fsk的部分频带干扰误码率计算，这个程序是基于matlab的，自己编的，呵呵(Frequency Hopping (duty cycle 1) 4fsk the partial band interference bit error rate, this procedure is based on matlab, and their series, Oh)

使用Visual studio 工具做的实例，以此研究反射与缓存（深拷贝）的性能(the instance of reflection and deeping copy at visual c#)

kaiser滤波：用kaiserord生成阶数，及beta值(filter using kaiser)

说明：  俄 罗 斯 方 块 小 程 序(Tetris Applet)

matlab经验模态分解 emd 工具包 包含emd常用函数，可用于机械设备故障诊断(Matlab empirical mode decomposition toolkit can be directly used in mechanical equipment fault diagnosis)

优化问题分类：（非）线性规划、整数规划、0-1 规划、（多）目标规划、（与时间有关的）动态规划、（系数是随机变量的）随机规划。 (Optimization problem categories: (non-) linear programming, integer programming ,0-1 plan, (multiple) goal programming, (and time-related) dynamic programming, (coefficient is a random variable) stochastic programming.)

该源代码为一国外硕士所写，有关虹膜特征提取的部分很有借鉴意义，希望从事图象处理方面研究的各位不要错过．(the source code for an overseas master's written, the iris feature extraction part of a useful one, want to engage in image processing research you should not miss.)

to help in computer vision ,pattern recognition and machine learning research for grad students in image analysis and computer science works of masters and doctorate

This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2 + bxy + cy^2 + dx + ey + f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters (This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2+ bxy+ cy^2+ dx+ ey+ f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters )

动态频谱分配算法代码，写的真的非常好，希望大家使用，很好很好很好很好(Dynamic spectrum allocation codeWrite really good, hope that we use, very good very good very good very good)