AGA1.gz

用SVM进行声音分类的程序，自己编的，效果挺好，用的是libsvm工具箱(With the sound of SVM classification procedures, own, and the effect is very good, with the libsvm toolbox)

不选主元的高斯消元法，用于求解线性方程组，很好用！基于c++编写。(Do not choose the principal component of the Gauss elimination method for solving linear equations, very good use! Prepared based on c++.)

m文件为程序。最小二乘方法的介绍，从我的论文中截取一段出来，说明原理。N为数据的个数(m file for the program. Least squares method is introduced, from the interception of some of my papers out of that principle. N is the number of data)

Model Predictive Control for SISO system

不可压ns方程主程序，包括动量方程，压力方程等。(Incompressible ns main equations, including momentum equation, the pressure equation, etc.)

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.)

一个关于sinc函数最小欧氏距离计算的程序，和仿真，研究超奈奎斯特可以借鉴(A program sinc function on the minimum Euclidean distance calculation, and simulation of Super Nyquist can learn)

mp3 reading and writing technique used for watermarking

说明：  OFDM系统中时域均衡的仿真和结果分析，先对搭建的最基本的OFDM系统性能进行仿真分析，然后对在多径信道下的OFDM系统性能进行仿真分析，最后对MMSE算法进行仿真分析。(OFDM system, time domain equalization and results of the simulation analysis, the first of the basic structures of the simulated OFDM system performance analysis, and multi-path channel in the OFDM system performance under simulated and analyzed, the final simulation of the MMSE algorithm.)

dijkstra.m a tree examples of application of dijkstra algorithme with properties of the original algorithm