lab1

等间距线性阵列，阵元数M=8，阵元间距d= λ /2，等幅加权，目标方位φr =0°。产生空间白噪声矢量（复高斯分布）。 设阵列信号矢量元素s(m)=exp[j mψr]，其信号幅度为1，该阵元接收机附加的高斯噪声为n(m)=nmr+jnmi，其中实虚部均为独立同分布N(0, σ2)的高斯随机数，则该通道合成信号x(m)=s(m) + n(m)，其中信噪比为： SNR = 10 lg[1/(2σ2)] = – 3 – 10 lg(σ2) (dB) (The spacing of the linear array, and the array element number M = 8, the array element spacing d = λ/2, equal amplitude weighted target azimuth φR = 0. Space generated white noise vector (complex Gaussian distribution). Let array signal vector elements s (m) = exp [j mψr], the signal amplitude, the element receiver additional Gaussian noise n (m) = nmr+jnmi which the real and imaginary parts are independent and identically distributed N ( Gaussian random numbers of 0, σ2), the channel the synthesis signal x (m) = s (m) the PPLS n (m), where SNR is: SNR = 10 lg [1/(2σ2)] =- 3- 10 lg (σ2) (dB))

模糊控制，变电站电压无功控制的matlabsimulink模型(Fuzzy control, substation and reactive power control model of matlabsimulink)

MATLAB 优化设计黄金分割程序，PID控制仿真程序，适用于曲柄滑块机构(The MATLAB optimization design gold segmentation procedures, PID control simulation program, applicable to the slider-crank mechanism)

《有限单元法》一书中的相关程序，matlab变形，欢迎做有限元的人参考。("The finite element method," the relevant procedures, matlab deformation, welcome do finite element reference.)

pscad环境下搭建的一个IEEE34节点的，测试模型，可以用于电力系统潮流计算、状态估计等(pscad environment to build a IEEE34 node under test model can be used to power flow calculation, state estimation, etc.)

Neural Network C language BP neural network solution differences or problems canny source HMM C language isodata K-MEANS License Plate Recognition System Vector Quantization C Language

用matlab完成分类器的设计，说明文字程序相应语句，子程序有调用过程(Using matlab complete classifier design, captions program corresponding statement, calling subroutines process)

MATLAB.Programming.for.Engineers S.J.Chapman《MATLAB编程》中文版修正版 (The revised version of the Chinese version of MATLAB.Programming.for.Engineers SJChapman " MATLAB Programming)

CBCGPChartCtrl 简单使用，包括图片效果。(CBCGPChartCtrl simple to use, including pictures effect.)

Particle filter object tracking with matlab