GPLAB-Toolbox-3

说明：  语音识别HMM隐马尔可夫全过程的matlab程序，运行测试能出结果，希望对你们有用，实在没点数才把自己压箱底的东西拿出来,呜呜(HMM speech recognition, Hidden Markov whole process of matlab program, run the test to the result, I hope helpful for you, it is only then did their own pressure points things bottom out, whining)

龙格库塔方程,求解偏微分方程,主要用在光学领域(Runge-Kutta equations, solving partial differential equations, mainly used in the optical field)

matlab精品程序，非常有用。希望大家喜欢！(matlab quality procedures, very useful. I hope everyone likes!)

pazern窗估计的matlab程序，可直接运行(matlab windows pazern estimated procedures, can be directly run)

解决图论中的最小树问题的matlab源代码，简单易懂。(Matlab source code to solve the minimum spanning tree problem in graph theory, easy to understand.)

BA_GMRES 内迭代预处理的GMRES(Inner-iteration for GMRES)

设计一维纳滤波器 (1)产生三组观测数据：首先根据s(n)=a s(n-1)+w(n)产生信号s(n)，将其加噪（信噪比分别为20dB,10 dB，6 dB），得到观测数据x1(n), x2(n), x31(n). (2)估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L,N对实验结果的影响。 (A Wiener filter design (1) to produce three sets of observations: first generating a signal s (n) according to s (n) = as (n-1)+w (n), to add noise (20dB SNR, respectively , 10 dB, 6 dB), to obtain observational data x1 (n), x2 (n), x31 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss the impact changing L, N of the experimental results.)

说明：  ＢＰ程序的源码，程序内有文字说明解释，参照的调用为[w1,w2]=BP(D,0.9,0.1,5,0.001,20000,0.02) ，希望对大家有用(BP program source code, the program explained within the text description, refer to the call for the [w1, w2] = BP (D, 0.9,0.1,5,0.001,20000,0.02) , hope to be useful)

卡尔曼滤波的故障诊断，才用卡尔曼滤波方法的故障诊断技术的matlab 与simulink 仿真代码(karman filter with design)

简单遗传算的代码，也不是我自己写的，但是我亲自调过能用的(Simple genetic algorithm code, not my own writing, but I personally emphasized the use of)