yangshuying

Image-feature-extraction-an overview

it describe about brain image segmentation

m-ary PAM simulation code

说明：  简单的遗传算法优化bp神经网络，里面包含数据、程序(Simple genetic algorithm optimizes BP neural network, which contains data and program)

在重构相空间的基础上计算吸引子的分形维时,合适的嵌入维m和时间滞后τ的选取至关重要.在虚假邻域概念基础上,本文给出了确定m和τ的方法.较之以前的方法,此方法更准确、简单、容易理解、易实施,对较小样本数据集也可靠.最后的应用实例验证了理论的正确性.(In the reconstructed phase space based on the calculation of the fractal dimension of attractor, the appropriate embedding dimension m and time lag τ selection is essential. In a mock neighborhood based on the concept, this paper presents the method to determine m and τ. Compared with the previous methods, this method is more accurate, simple, easy to understand, easy to implement on a smaller set of sample data is also reliable. The last application example to verify the theoretical correctness.)

说明：  离散傅里叶变换中的吉布斯效应。这里分别讨论了CFST和CFT两种情况，程序可以直接调用(Discrete Fourier transform of the Gibbs effect. Are discussed here, two cases CFST and CFT, the program can directly call)

Matlab6.5辅助小波分析，基于simulink的小波分析书籍(Matalab 6.5 Auxiliary wavelet analysis, based on the wavelet analysis Simulink books)

MATLAB模型：HMIPv6&MIPv6在AR数增加情况下的额外开销(MATLAB model: HMIPv6 & MIPv6 overhead in case of increase in AR number)

使用精确搜索方法解决一般的非线性无约束优化问题(Refine your search using the method to solve the general nonlinear unconstrained optimization problems)

1 chaos_draw_GCM.m 基于最大标准差绘制的大域耦合相图（GCM）；2 chaos_GCM.m 特定参数下的大域耦合状态变量的值的时域及频域图； 3 chaos_simple.m 混沌对初始条件敏感的实验； 4 ICAS.m ICAS系统的评价数据处理； 5 julia.m 朱莉娅集的绘制； 6 logistic.m 逻辑斯蒂克集的稳定点关于参数u的分布(1 chaos_draw_GCM.m drawn based on the maximum standard deviation of the big field coupling phase diagram (GCM) big field coupling state variable 2 chaos_GCM.m special parameter values ​ ​ in the time domain and frequency domain 3 chaos_simple.m Chaos sensitive to initial conditions experimental evaluation data processing 4 ICAS.m ICAS system draw 5 julia.m Julia sets stable point 6 logistic.m logic Si Dike set of parameter distributions u)