edfa-gain-with-length

说明：  matlab 非线性回归算法 是对现有数据系列进行参数拟合的程序(Matlab nonlinear regression algorithm to existing data series parameter fitting procedure)

说明：  DBN算法-机器学习-电力系统预测 亲自编写可以使用(DBN algorithm machine learning power system prediction)

MRAC-Model reference adaptive control

关于图像分割的，用MATLAB实现，希望有所帮助！(With regard to image segmentation, using MATLAB realization of the hope that helps!)

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

说明：  MATLAB HELP FUNDENMENTAL IN YOUR CODE CODE FOR HELP

Estimation of direction in degree for doa study

说明：  用有效独立法实现传感器优化布置，效果一般，但可供借鉴(Using the effective independence method to realize the optimal arrangement of sensors)

说明：  模式识别的经典使用书籍，书名pattern recognition, 作者：Sergios Theodoridis(A good book for pattern recognition, by author: Sergios Theodoridis)

计算晶体的倒格矢.计算时需要输入原来晶体格点所在坐标下的矩阵，这对理解倒格矢量很有意义。(A calculation of the reciprocal lattice vector)