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实验二、数字图像伽马校正。MATLAB程序。有报告，有源码。(The second experiment, digital image gamma correction)

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))

matlab扩展编程，介绍了matlab的新特性，常用的代码优化方法和功能扩展途径(matlab Extension programming )

说明：  matlab代码用于自适应滤波和回波对消，代码采用LMS、RLS、DFT、子带滤波。(The matlab codes for adaptive filtration and echo-cancelleration, codes using LMS, RLS, DFT, Subband filtration.)

根据输入输出数据，进行ARMA定阶、辨识，可用于SISO的最小方差控制系统性能评价(According to the input and output data, ARMA order determination, identification, control systems can be used to minimize the variance of performance uation SISO)

说明：  双电机模型用于汽车的搭载和嵌入，与其他汽车模型联合使用(The dual motor model is used for vehicle loading and embedding, and is used in combination with other vehicle models)

MATLAB code for OFDM Transmission

无线传感器节点部署定位模糊聚类算法采用数量积求相似矩阵 输入样本矩阵(The localization algorithm of wireless sensor nodes is based on fuzzy clustering algorithm.)

说明：  对非线性数据进行处理，利用多项式进行拟合(Fit the curve with mean5-3 smoothing, which can be used for friction coefficient curve and nonlinear data for fitting)

采用分离剥层算法以及傅立叶变化的方法，使用Matlab语言编程分析光纤光栅(FBG)的特性。(Layer stripping algorithm for the use of separation as well as changes in Fourier methods, the use of Matlab programming language analysis of fiber Bragg grating (FBG) characteristics.)