RandomForset

基于暗原色先验的单一图像去雾算法 香港中文大学的一篇论文(dark channel prior dehazing single image dehazing using dark channel prior)

使用协方差矩阵的方法对MIMO的DOA进行估计，从而得到copon的DOA算法(Covariance matrix using the method of MIMO DOA estimation, resulting copon DOA Algorithms)

matlab源代码：基于视觉显著性的前景检测方法和源代码(matlab Source: Based on the prospects for significant visual detection methods and source code)

LOAD FLOW ANALYSIS BY FAST DECOUPLED LOAD FLOW ANALYSIS

it contains a matlab file with extension of .m

一篇很好的英文文献。导师推荐的，关于可变光照下人脸识别，用matlab仿真(A good English literature. Mentor recommended on face recognition under variable illumination, matlab simulation)

使用多种群遗传算法进行DOA估计, 可以避免常规遗传算法容易陷入局部解的问题(DOA estimation with muti-population Genetic algorithm, which can avoid getting into local optimal solutions)

BPSK信号的仿真，解调，仿真结果误码率计算(BPSK signal simulation, demodulation, bit error rate simulation results)

提出了一种求解电磁场有限元 边界元混合法所生成的线性方程组的有效方法 ———内观 法结合多波前法.由于该线性方程组的系数是一个部分稀疏部分满填充的矩阵,为了加速求解,应用内观法将系数矩阵分为 2块,一块是有限元法形成的稀疏矩阵,另一块是边界元法生成的满阵,然后用多波前法求解稀疏矩阵方程,用高斯 约当消去法解满阵方程. 采用该方法,计算了二维多层介质柱体的雷达散射截面.计算结果表明,该方法的计算效率远远高于传统的高斯法.(Proposed for solving mixed finite element boundary element linear equations generated by an effective method of Vipassana--- a combination of multi wave front method. Since the coefficients of linear equations is a part of the sparsely populated part of the full matrix, in order to speed up the solution, application of Vipassana coefficient matrix is ​ ​ divided into two, one is the finite element method for the formation of the sparse matrix, the other is the boundary element method generates the full array, and then use the multifrontal method for solving sparse matrix equation Gauss Jordan elimination method with full matrix equation solution. use this method to calculate the two-dimensional multi-layer dielectric cylinder of the radar cross section. The results show the computational efficiency of this method is much higher than the traditional Gaussian law.)

matlab很好的文档 非常实用 值得收藏 太好了 欢迎下载 好好学习 非常好 (matlab good documentation is very practical worth collecting great welcome to download a good learning very well)