FD_diff

本文利用Matlab对辅助图像处理做了一个全面的介绍，对初学图像处理的朋友很有帮助(It has benefits for learners)

卷积编译码，采用viterbi译码来对其进行仿真(this is convolutional)

matlab GUI详细介绍及简单的例子(matlab GUI details and a simple example)

实现枚举设备的功能，像window设备管理器一样的功能。简单使用，解决了很多程序员的苦恼问题(The achievement of enumerated devices, such as Device Manager window functions the same. Simple to use, a lot of programmers to solve the problem of distress)

说明：  基于双耦合Duffing振子的随机相位正弦信号检测 采用双耦合混沌振子阵列实现了随机相位微弱正弦信号的检测，在此基础上，提出了新的检测方法，即利用单个耦合混沌振子，通过临界及周期状态 的变化检测随机相位微弱正弦信号并大致估计信号相位范围，该方法比双耦合混沌振子阵列法简单，更易于实现。(Based on double coupled Duffing oscillators random phase sine signals detected by two coupled chaotic oscillator arrays to achieve a random phase weak sinusoidal signal detection, in this basis, the proposed new detection methods, namely the use of a single coupled chaotic oscillators, through the critical and the cycle random phase state change detection and generally weak sinusoid signal phase estimated the scope of the method than the two-coupled chaotic oscillators array method is simple and more easy to implement.)

说明：  用matlab写的维纳滤波，最陡下降法的实现例程。(Matlab written by Wiener filtering, the steepest descent method to achieve routine.)

普通PID控制及其扩展算法控制的MATALB仿真程序，内容包含面广．(ordinary PID control algorithm and its expansion of enriching control simulation program, which includes many sectors.)

利用matlab程序，以及小波函数，实现两个图像的小波融合(Using matlab procedures, and wavelet function, wavelet fusion of the two images)

有关matlab的图像融合与图像配准程序。并附带了程序运行说明，简单明了。(About matlab image fusion and image registration procedures. And comes with a description of the program to run, plain and simple.)

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 )