matlab

用BP进行非线性动态系统辨识 (BP carried out using nonlinear dynamic system identification)

OFDMsimulink技术的分析模拟仿真，适合研究OFDM技术的人群，比如毕业设计(OFDMsimulink technology analysis simulation, appropriate to study the crowd OFDM technology, such as the graduation project)

蚁群算法的MATLAB程序，提供变量初始化 C=[1304 2312 3639 1315 4177 2244 3712 1399 3488 1535 3326 1556 3238 1229 4196 1004 4312 790 4386 570 3007 1970 2562 1756 2788 1491 2381 1676 1332 695 3715 1678 3918 2179 4061 2370 3780 2212 3676 2578 4029 2838 4263 2931 3429 1908 3507 2367 3394 2643 3439 3201 2935 3240 3140 3550 2545 2357 2778 2826 2370 2975] m=31 Alpha=1 Beta=5 Rho=0.9 Q=100 NC_max=200 (Ant colony algorithm of MATLAB procedures, initialize the variable C = [1304 2312 3639 1315 4177 2244 3712 1399 3488 1535 3326 1556 3238 1229 4196 1004 4312 790 4386 570 3007 1970 2562 1756 2788 1491 2381 1676 1332 695 3715 1678 3918 2179 4061 2370 3780 2212 3676 2578 4029 2838 4263 2931 3429 1908 3507 2367 3394 2643 3439 3201 2935 3240 3140 3550 2545 2357 2778 2826 2370 2975] m = 31 Alpha = 1 Beta = 5 Rho = 0.9 Q = 100 NC_max = 200 )

电力系统建模，非常适合于初学者及专业人士参考学习(Power system modeling, very suitable for beginners and professionals refer to learning)

文章在分析灰色线性回归组合预测模型基本原理的基础上,利用MATLAB强大的矩阵运算功能,使MATLAB实现加权预测模型算法,作者通过实例分析验证了该程序的准确性和可靠性.(This paper analyzes the combination of gray linear regression prediction model based on the basic principle, the use of the powerful MATLAB matrix calculation function, so MATLAB algorithm to achieve weighted prediction model, the authors analyzed to verify the accuracy and reliability of the program by example.)

处理信号的时频分析，混沌的判断指标Lyapunov指数计算,多目标跟踪的粒子滤波器。( When processing a signal frequency analysis, Chaos indicator for Lyapunov index calculation, Multi-target tracking particle filter.)

关于ubuntu的各种学习资源，十分齐全(With regard to ubuntu a variety of learning resources, a very complete)

matlab Official Study Manual,适合新手学习和快速查阅matlab相关知识的手册使用。

利用matlab做线性回归,简单，好用，可以处理一般的回归问题(Using matlab to do linear regression, simple, easy to use, can handle general regression problem)

用costas环检测淹没在噪声和未知任何先验参数的正弦信号检测(with Costas Loop Detection drowned in the noise and any a priori unknown parameters of sinusoidal signal detection)