optimal-beamforming-master

这是一本学习matlab simulink方面实例的书，通过不断地练习例子，可以很快的进入入门阶段。(this is a book of matlab simulink,we can study well matlab simulink through the book.)

求解过程中，由于几何模型发生变化而导致区域网格改变时会出现几何结构的连续性问题。本章中，我们举两个例子——流道中由于不同尺寸孔板引起额外压力损失问题是稳态几何连续性的一个例子。从概念来看，这个问题与第5章贝纳尔问题中通过Rayleigh数进行的变量连续性没什么不同。第二个例子是液体中悬浮的乳胶颗粒的干膜。在这个问题中，考虑了两个移动前缘；一个通过坐标变换，另一个通过光滑界面模型。该技术对于之前模拟该问题采用的移动弱项方法有所改进。(Solving process, due to geometry changes and the continuity of the geometric structure of the regional grid changes. In this chapter, we give two examples- the flow channel due to the different size orifice caused by the additional pressure loss is an example of the steady-state geometric continuity. Variable continuity standpoint, this issue in Chapter 5 Bernal Rayleigh number is no different. The second example is a dry film of the latex particles suspended in the liquid. In this problem, consider the two move the leading edge a coordinate transformation, and the other by the smooth interface model. The technology used before to simulate the mobile weaknesses improvements.)

GAS single link algorithm in matlab

此程序可以利用相位一致性计算含有条带噪声不同带宽高光谱图像的图像质量。(This program can take advantage of the phase coherence calculated noise bandwidth hyperspectral image containing bands image quality.)

brushlet程序，包括分解，重构，显示系数等(brushlet.zip)

在最佳位置和合同双层办法 分布式发电的径向分布定价 使用混合整数线性规划系统(Bilevel approach for optimal location and contract pricing of distributed generation in radial distribution systems using mixed-integer linear programming)

不需要事先选取di的自适应算法（n阶离散时间MRAS)(Without prior selection of the adaptive algorithm di (n-order discrete-time MRAS))

In this paper, a multimodal image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed. Firstly, the source images are decomposed into low-frequency coefficients and high-frequency coefficients by the dual-tree complex wavelet transform (DTCWT). Then, the high-frequency coefficients are fused by the maximum selection fusion rule. The low-frequency coefficients are fused by weighted average method based on regions, and the weights are estimated by the PSO to gain optimal fused images. Finally, the fused image is reconstructed by the inverse DTCWT. The experiments demonstrate that the proposed image fusion method can illustrate better performance than the methods based on the DTCWT, the support value transform (SVT), and the nonsubsampled contourlet transform (NSCT).

atmel ATMEGA16 Microcontroller

格基约减下的zf(迫零检测)算法，适用于多输入多输出系统(lattice reduction aided ZF algorithms)