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Mablab工具包 机械系统建模仿真(Mablab Kit mechanical system modeling and simulation)

matlab实现的MME（modified matrix encoding）隐写算法 可成功运行(the MME (modified matrix encoding) steganographic algorithm which can successfully run)

本程序主要模拟小球与边界碰撞，运用能量衰减的运动规律进行程序设定(This procedure simulated ball and border collision, the use of the energy decay law of motion for the program set)

摆动筛，物体左移、右移、跳跃条件，k线，曲线图(Were screening )

demonstration of viterbi decoding using trace-back

说明：  多径多普勒信道模型，包括快衰落，慢衰落，频率选择性衰落，平坦衰落等(Multipath Doppler channel models include fast fading, slow fading, frequency-selective fading, flat fading, etc)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

Matlab进行再入式飞行器轨道建模与仿真，建立各种模型，最后获得飞行器的动力学模型，并调用龙格库塔函数求解该微分方程初值问题。(Matlab for reentry spacecraft orbit modeling and simulation, the establishment of various models, and finally obtain the dynamic model of the aircraft, and call the Runge-Kutta function of the initial value problem solving differential equations.)

应用KNN算法解决0到9的手写数字识别问题，效果在90 以上，内部有两个数据集，一个为训练集（7291个数据），一个为测试数据（2791个数据），程序采用MATLAB编写，另附有文档，程序简洁易懂(Application KNN algorithm to solve 0-9 handwritten digit recognition problem, the effect is more than 90 , the inside has two data sets, one for the training set (7291 data), a test data (2791 data), the program written using MATLAB , attached a document, the program is simple and easy to understand)

一种改进的LSB Steganography 以抵抗“RS分析法”和GPC Steganalysis(LSB Steganography against RS and GPC)