很好用的遗传算法的车间调度算法(修改)，matlab源代码

calculate Specific Fuel Comsuption

Flexible Job Shop Scheduling _modm in matlabe

D-S证据理论数据融合，BP神经网络用于函数拟合与模式识别，计算加权加速度,最小均方误差（MMSE）的算法，含噪脉冲信号进行相关检测,包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。

人脸识别中2DPCA算法的matlab程序，使用最近邻分类器进行识别。(Face Recognition 2DPCA algorithm matlab procedures, the use of nearest neighbor classifier to identify.)

说明：  matlab 遗传算法求解tsp，有详细的交叉，变异说明，适合初学者(matlab genetic algorithm tsp, detailed crossover, mutation description, suitable for beginners)

说明：  有序序列聚类分析算法 可以实现节点（分为 k类）的的分析 有序聚类分析（多维）PETTITT突变检验 penman蒸发公式 累计距平检验(The clustering analysis algorithm of ordered sequence can realize the analysis of nodes (divided into k classes) Ordered cluster analysis (multidimensional) Pitt mutation test)

遗传算法的目录以及各种算例，对初学者来说学得很快(Genetic Algorithm directory as well as various examples of beginners learn quickly)

OFDM系统自适应算法仿真，MATLAB程序 (Adaptive Algorithm for OFDM systems, MATLAB program)

MATLAB doc function with an excellent course

Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously with a smooth reconstructed image. Both contourlets as well as complex-valued dual-tree wavelets are considered for their highly directional representation, while bivariate shrinkage is adapted to their multiscale decomposition structure to provide the requisite sparsity constraint. Smoothing is achieved via a Wiener filter incorporated into iterative projected Landweber compressed-sensing recovery, yielding fast reconstruction. The proposed approach yields images with quality that matches or exceeds that produced by a popular, yet computationally expensive, technique which minimizes total variation. Additionally, reconstruction quality is substantially superior to that from several prominent pursuits-based algorithms that do not include any smoothing