kernel

说明：  Viterbi算法源程序,注释简洁,利于使用(Viterbi algorithm source, concise notes, beneficial use)

给你一个非常大的整数x，(-10^400 <=x<= 10^400)，请统计x的每一位，分别输出9,1,2出现的次数. Input 一个大整数 Output 一共三行，第一行是9出现的次数，第二行是1出现的次数，第三行是2出现的次数。 Sample Input 912912912910915902 Sample Output 6 5 4(Statistical figures)

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 )

多工序多设备的生产车间调度问题，采用的是精英保留策略的遗传算法(A genetic algorithm based on elite reservation strategy is adopted for multi-process and multi-equipment job shop scheduling problem.)

雷达回波信号消噪的仿真和实现 基于Mallat算法的滤波器设计及用于信号消噪实现(Simulation and Implementation of Radar Echo Signal Denoising)

create custom gaussian

Audio Feature Extraction routine. this routine extracts the attack time of an audio source, by extracting the timing (sample) of the highest peak. The archive inclues a routine to extract the fft and display it. Requires Voicebox for matlab.

matlab下的机器人工具箱matlab下的机器人工具箱(matlab robotic toolboxmatlab robotic toolbox)

轻松利用hermite插值的GUI界面完成数据的操作，对数学计算和工程仿真都很重要(Easy use Hermite interpolation GUI interface finish data operation, the mathematical calculation and simulation are very important)

说明：  一阶自回归滑动序列，随机过程作业，计算其自相关函数。(The first order autoregression sliding sequence of operations of stochastic processes, to calculate the autocorrelation function.)