buhuoxinhao

有关雷达的MATLAB仿真资料！！！！！！！！！！！！！！！(MATLAB simulation of the radar information! ! ! ! ! ! ! ! ! ! ! ! ! ! !)

说明：  基于内点法的解l2_l1和l2_TV优化问题的matlab代码(Interior point method based on the solution l2_l1 and optimization problems l2_TV code matlab)

采用MATLAB计算，在考虑双光子吸收截面系数是一个动态情况下的模拟情况(Using MATLAB calculated considering two-photon absorption cross section coefficient is a dynamic simulation of the situation in case)

数值分析实验报告!包含多个实验！ 实验一 非线性方程求根 实验二 线性代数方程组的解法 --------列主元Gauss消元法 实验三 线性代数方程组的解法 ——Gauss-Seidel迭代法等(Numerical Analysis of the experimental report! Contains more than one experiment! Experiment 1 Experiment 2 roots of nonlinear equations of linear algebraic equations the solution out PCA Gauss elimination method experiment trilinear solution of algebraic equations- Gauss-Seidel iteration method, such as)

phase lock loop for coherent detection

线阵的两种数字波束形成的MATLAB程序，固定权值的，添加了汉明窗以抑制旁瓣。(Linear array of two kinds of digital beamforming in MATLAB program, a fixed weight, and added a Hamming window to suppress sidelobe.)

matlab课件，很好的，已经看过了，非常不错，大家想学的看看(matlab)

说明：  kda程序 用于matlab环境下不同核函数分类问题(kda program for matlab environment classification of the different kernel function)

克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。它首先考虑的是空间属性在空间位置上的变异分布．确定对一个待插点值有影响的距离范围，然后用此范围内的采样点来估计待插点的属性值。该方法在数学上可对所研究的对象提供一种最佳线性无偏估计(某点处的确定值)的方法。它是考虑了信息样品的形状、大小及与待估计块段相互间的空间位置等几何特征以及品位的空间结构之后，为达到线性、无偏和最小估计方差的估计，而对每一个样品赋与一定的系数，最后　进行加权平均来估计块段品位的方法。(Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journel and Huijbregts, 1978 Kitanidis, 1997). It is a local estimator that can provide the interpolation and extrapolation of the originally sparsely sampled data that are assumed to be reasonably characterized by the Intrinsic Statistical Model (ISM). An ISM does not require the quantity of interest to be stationary, i.e. its mean and standard deviation are independent of position, but rather that its covariance function depends on the separation of two data points)

有借鉴意义哦，是国外的成品模型，一些自适应信号处理的算法，使用matlab实现智能预测控制算法，是学习PCA特征提取的很好的学习资料。( There are reference Oh, Foreign model is finished, Some adaptive signal processing algorithms, Use matlab intelligent predictive control algorithm, Is a good learning materials to learn PCA feature extraction.)