music

一个估计garch（1,1）的matlab程序(matlab code for estimating garch（1,1）)

说明：  求反求参数（无约束非线性优化方法）的matlab实现 无约束非线性优化算法-Powell法优化子程序 matlab广义最小二乘算法程序(Reverse order parameter (unconstrained nonlinear optimization method) to achieve the matlab unconstrained nonlinear optimization algorithm-Powell method to optimize the generalized least-squares algorithm matlab subroutine procedure)

MATLAB Books - John O. Attia.pdf.zip

用于已知栅格环境下机器人路径规划的Astar算法源码，像知道的可以来看看一看 ，对于像用matlab来仿真算法的有所帮助(Known for grid environment of the path planning algorithm Astar source, like know can come to see a see, for as by matlab simulation algorithm to the help)

说明：  遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (ga))

coding for space coding basics...

对应不同的a值产生一组矢量来表示高斯脉冲波形，并计算其相应的ESD。最后，画出了各个a值所对应的脉冲波形及其ESD(a different corresponding values of a group vector to express Gaussian pulse waveform, and calculated the corresponding ESD. Finally, paint all of a value corresponding to the pulse waveform and ESD)

一个身体部位比较模型的新方法网络（BAN）的，可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏，通过基于参数化到每个活动，每个学科和每个环节模型。使用错误，并明确之间权衡复杂性，在一个善良的适应措施相结合，显示有重要的影响时，适用于一系列典型的禁止通道数据。它是有不同的 在模式的选择的影响，以及它相关的复杂性，混合活动的“日常”的数据，设置活动相比，动态数据（例如步行）。平均路径损耗的不足，甚至位数的路径损失的措施，作为唯一的表征还强调“禁止通道。 (A new approach to compare models for body area networks (BAN) that accommodates multiple links and multiple subjects is presented. The absolute measure described allows comparison across a spectrum of possible characterizations ranging from single-parameter for an entire ensemble, through to per-activity, per-subject and per-link based parameterized models. The use of an explicit trade-off between error and complexity, combined in a goodness-of-fit measure, is shown to have important consequences when applied to a range of typical BAN channel data. It is shown that there are different implications in choice of model, and it’s associated complexity, for mixed-activity “everyday” data, when compared with set-activity dynamic data (e.g. walking). The deficiency of mean path loss, or even median path loss measures, as a sole characterization of the BAN channel is also highlighted.)

说明：  按照书本上教材编写的自适应中值滤波函数，很有参考价值(Materials prepared in accordance with the books adaptive median filtering function, a good reference)

lscv in matlab, bandwith selection