FEM_using_triangle

最小二乘支持向量机LSSVM分类器的代码，比较齐全(the MATLAB code for LSSVM)

bpsk蒙特卡洛仿真，误码特性与信噪比曲线，几种实现的对比(bpsk Monte Carlo simulation, BER- SNR characteristic curve)

转子动力学分析相关的计算代码，附带学习教程，值得学习。(Calculation of rotor dynamics analysis of relevant codes, with the tutorial, it is worth learning.)

提供了FR和HS共轭梯度法的算法，编程是用matlab实现的(FR and HS provides a conjugate gradient method algorithm, programming is achieved using matlab)

神经网络遗传算法函数极值寻优————非线性函数极值寻优(Neural network genetic algorithm optimization function extreme nonlinear function extreme optimization)

SORRY THIS IS WRONG CODE DON T FOLLOW THAT

这是关于va检测的程序。 仿真参数为: 帧数：1000 帧长：100 调制方式：bpsk 信道：3径rayleigh慢衰落信道 接收：VA检测 文件有：bpsk.m；dec_bpsk.m；trellis.m；viterbi_my.m；main.m(This is about the va testing procedures. Simulation parameters: number of frames: 1000 Frame Size: 100 Modulation: bpsk Channel: 3 Path slow rayleigh fading channel receiver: VA inspection documents: bpsk.m dec_bpsk.m trellis.m viterbi_my.m main.m)

说明：  matlab命令大全，便于编程时随时查阅编程命令(Guinness matlab command for easy programming access )

说明：  VQ声纹识别算法和实验. 摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．(VQ pattern recognition algorithms and experimental sound. Abstract: The linear prediction cepstral coefficients (1inear prediction cepstrum coefficient, LPCC) as the voice of the characteristic parameters, vector quantization (vector quantity, VQ) method of pattern matching, pattern recognition of sound in order to achieve authentication and identification methods relevant to this experiment. Validated, this method can distinguish between different speaker, and speaker identification experiments to do to reach a higher recognition rate.)

自然频率越高的情况下，对传统的部分影响越高，经过模糊处理却不受影响，但是自然频率调整的越高时，阻尼比反而要降低，这样模糊处理过的状态才不会受到影响，由此可见，自然频率与阻尼比在模糊控制中有相对的关系。(The relative relationship between the natural frequency and damping ratio in Fuzzy Control)