cross_coordinate_modified

PURPOSE: E_GARCH(P,Q) parameter estimation with different error distributions, the Normal, The T, and the Generalized Error Distribution

定义一个用于创建对象的接口，让子类决定实例化哪一个类。Factory Method 使一个类的实例化延迟到其子类。(Analysis and implementation of common design patterns (C++))

利用基本的PSO算法对传感器进行建模，该方法对呈现非最小相位系统特性的传感器，建模效果很好(Use of the basic PSO algorithm to the sensor model, the method of the present non-minimum phase characteristics of the sensor system, modeling the effect of good)

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.)

genetic programming and orthogonal least square

“杂波建模与仿真技术及其在雷达信号模拟器中的应用研究”这是博士论文，内容丰富，详细()

进行差值拟合 很好 很不错 相信可以帮助你(The difference between a good fit is very good I believe can help you)

DSGE模型程序，用于校准分析，希望大家能够喜欢。(DSGE for calibration)

二分法，这是用matlab编写的c程序，数值方法(Matlab program)

说明：  matlab论文，希望对大家有帮助，请大家多多支持(matlab thesis, I hope all of you help, please we can support)