FusionTool

语音信号的特征提取，MATLAB编程实现LPC分析(LPC)

用MATLAB实现的vibe算法，内有测试视频(use matlab to program the vibe Algorithm)

胡广书例题matlab源程序,每章节均有,比较精彩(Hu Guangshu Examples Matlab source files, each chapter is more exciting)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m---- Monte Carlo method. 氀椀渀最樀椀愀渀.m Part initial value, using the Monte Carlo method to calculate the total cost. The preparation of their own normal distribution random number generator to generate normally distributed random numbers. lingjian.m is the first practice of the Monte Carlo method. accyouhua calibration value the function lingjian not a function, which gives the value of a set of calibration values. Annealing to determine the calibrated value/unitanneal ()---- Simulated Annealing 吀栀攀 continuous multiple variables combinatorial optimization problems 吀栀椀猀 is an exercise of the simulated annealing method, the results show that the simulated annealing is an effective method. 圀栀攀渀 the parameter selection is better (generally accompanied by a longer running time), simulated annealing results, however using MATLAB FMIMCON () generally achieve higher accuracy.)

阵列信号处理，自适应波束形成，Capon算法(array signal processing，adaptive beam forming，Capon)

将MATLAB源文件编译成可执行程序的步骤(MATLAB source files will be compiled into an executable program steps)

通过Matlab仿真实现GPS定位算法的实现(GPS positioning algorithm and implementation,)

扩散方程的求解，可根据初边值条件解出该方程.(Diffusion equation, initial boundary value according to the equation solved.)

PCA技术的一大好处是对数据进行降维的处理。我们可以对新求出的“主元”向量的重要性进行排序，根据需要取前面最重要的部分，将后面的维数省去，可以达到降维从而简化模型或是对数据进行压缩的效果。同时最大程度的保持了原有数据的信息。 (A major advantage of PCA technology is reduce the dimension of the data processing. We can calculate the new " principal component" vector order of importance, according to need to take the most important part of the front, eliminating the rear of the dimensions, dimension reduction can be achieved to simplify the model or the effect of data compression . At the same time maintaining the greatest degree of the original data.)

关于正弦插值的算法，从一篇IEEE的论文实现为MATLAB的代码。(sinc interpolation)