original_echo

给予图像匹配的实现运动目标的跟踪，在MATLAB上可以实现，比较方便易行(Image matching to track moving objects in MATLAB can be achieved, more convenient and easy)

用MATLAB(R)混合编程,给出了一种粒子模拟(PIC,CIC)方法中粒子云状态实时可视化的新方案,使得粒子的整体状态和运动趋势能够清晰的从绘出的图中直观的看出。(Using MATLAB (R) hybrid programming, given a particle simulation (PIC, CIC) method in real-time visualization of the particle cloud state' s new program, making the movement of particles and the overall state trend can clearly draw the figure from intuitive to see.)

圆度误差计算，国际上常用的有4种方法：最小二乘圆(LSC)方法；最大内切圆(MIC)方法；最小外接圆(MCC)方法和最小区域圆(MZC)方法。 (On the roundness error of calculation, the international commonly used there are four methods: least square circle method (LSC) The maximum inscribed circle (MIC) method Minimum inscribed circle (MCC) method and minimum zone circles (MZC) method.)

MATLAB模拟人走路姿势，各个节点的选取和函数的调用是我们学习的很好例子(MATLAB simulation of human walking, each node of the selection and function calls is a good example of learning)

插值与拟合的matlab实现，基于多相结构的信道化接收机，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。( Interpolation and fitting matlab implementation, Channelized receiver based on multi-phase structure, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.)

源码 此程序主要是对二值图像进行操作有效 如对灰度图像进行操作只需要修改部分代码既可以(The main source of this procedure is the binary image to operate effectively on the gray image to operate only need to modify some of the code can)

功能：用BFGS算法求解无约束问题：min f(x) 输入：x0是初始点，fun,gfun分别是目标函数及其梯度； varargin是输入可变参数变量，简单调用bfgs时可以忽略它， 但是其他程序循环调用时将会发挥重要作用 输出：x,val分别是近似最优点和最优值，k是迭代次数。(Function: BFGS algorithm for unconstrained problem: min f (x) Input: X0 is the initial point, fun, gfun each objective function and its gradient varargin variable parameter is the input variable, it can be ignored when a simple call bfgs , but other programs will play an important role when the cycle is called output: x, val are approximate optimum and the optimal value, k is the number of iterations.)

说明：  lstm的matlab代码，里面有实际的例子可以参考(LSTM MATLAB code, there are practical examples to look at)

Adaptive arithmetic coding.

a method to calculate the sum of square differenes using the normalised fft cross correlation