Gas_Turbine

说明：  bp神经网络用于分类的matlab程序，修改数值就可适用(bp neural network for classification matlab procedures can modify the application of numerical)

七单元天线阵MUSIC DOA估计： d=1 ， 天线阵元的间距； lma=2， 信号中心波长； 四输入信号； A=[A1,A2,A3,A4]， 得出A矩； 四信号的频率d=[1.3*cos(v1*n) 1*sin(v2*n) 1*sin(v3*n) 1*sin(v4*n)] 构造输入信号矢量 U=A*d 总的输入信号 总输入信号的协方差矩阵 [s,h]=eig(c) 求协方差的特征矢量及特征值 取出与零特征值对应的特征矢量 求协方差矩阵的逆矩阵 应用Music法估计输出 绘出各波达方向图(Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* ⁢ sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues ​ ​ characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure)

这是一个关于数字信号处理的PPt基础课件。(it is a lession for dsp base)

spatio-temporal Volume Local Phase Quantization (vLPQ)

这是一本研究控制的非常好的多学科书籍！尤其在航天控制领域是每名研究人员必备的参考书籍！(This is a study on the control of very good multidisciplinary books! Especially in the field of space control is every researcher essential reference books!)

求解语音信号的短时过零率、短时能量、短时自相关特征，分析实验结果，并能掌握借助时域分析方法所求得的参数分析语音信号的基音周期及共振峰。(The short-time zero-crossing rate, short-time energy and short-time autocorrelation characteristics of speech signal are solved, and the experimental results are analyzed. The pitch period and resonance peak of speech signal can be analyzed by the parameters obtained by time-domain analysis method.)

正在学习MATLAB和仿真的人可以看下，适合新手，内容很详细(Simulation and MATLAB , very detailed content)

说明：  自适应遗传算法matlab代码 附件中的matlab程序是雷英杰课本中的第一个算例, 将其改为自适应的代码.(Adaptive genetic algorithm matlab code matlab annex LEI Ying-jie textbooks procedure is the first example, to read as adaptive code.)

This code is about adaptive autoregressive. you can find AR coefficient.

粒子算法，卡尔曼滤波 粒子算法，卡尔曼滤波 粒子算法，卡尔曼滤波(PF EKF UKF PF EKF UKF PF EKF UKF)