FFTapsd

此程序为基于KALMAN滤波的信道估计联合符号检测算法。 modified_jakes为jakes模型子程序。(This procedure is based on the Kalman Filter Channel Estimation Joint symbol detection algorithm. Jakes model for modified_jakes subroutine.)

灰色预测GM（1，1）模型的matlab源代码，包括预测模型的建立，以及模型的精度检验指标c,p的计算-Gray prediction GM (1,1) model matlab source code, including the prediction model, as well as indicators of model accuracy test c, p calculation(Gray prediction GM (1,1) model matlab source code, including the establishment of forecasting model, as well as test the accuracy of the model indicators c, p calculation-Gray prediction GM (1,1) model matlab source code, including the prediction model, as well as indicators of model accuracy test c, p calculation)

MATLAB Image Detection

Matlab仿真应用模型，仿真电力系统的各种故障类型，基于SIMULINK(Matlab simulation application model, simulation of various fault types of power system based on SIMULINK)

wave guide on diferent imax

新型太阳能模型，适合风光互补系统的研究使用，特给力的模型啊(New type of solar model)

L-BFGS-B is a variant of the well-known "BFGS" quasi-Newton method. This variant uses limited-memory (like L-BFGS), and also handles simple constraints (to be specific, bound constraints, so this includes x >=0 constraints).

改进蚁群算法求两点间最短路径，基于matlab(Improved ant colony algorithm for the shortest path between two points, based on matlab)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!

迫零均衡算法的MATLAB实现,不可多得的好东西.(Zero-Forcing equalization algorithm in MATLAB realize, rare good things.)