MATLAB-and-Control-System

含有许多matlab的经典程序，插值拟合，规划问题，绘图，解方程，数据分析。对于新手来说可以来参考训练。(Classic program contains many matlab, the interpolation fitting, planning, drawing, solving equations, data analysis. For the novice can reference training.)

speex-1,2rc2,tar,gz linphone依赖库源码包(Rc2 speex- 1, 2, tar, gz linphone rely on library source code package)

The E-book is good to master in C.

matlab与c联合开发类 VC调用matlab(call matlab in VC++6.0)

复杂网络社团结构划分算法里最经典的ＧＮ算法和ＦＮ算法的实现原码(Community structure of complex networks division algorithm in the most classic GN algorithm and the algorithm to achieve the original code FN)

线性分组码的编码，译码，大家可以借鉴使用，希望大家喜欢。(Linear block code encoding, decoding, we can learn to use, I hope you like it.)

A set of functions to crop polygons or compute are of polygons intersection.

人脸检测，matlab源码，适合初学者使用，包括Adaboost及Haar-like特征提取(face detectiom)

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：  direct transform method for data