ecg

】UWB 以其高速率、高频谱利用率、低成本、低功耗和应用范围广等一系列优点受到业界前所未有的关注。正是 由于其高性能、低成本的无线数据通信能力，成为实现无限个人局域网的富有竞争力的技术之一。在介绍超宽带技术(UWB)基 本特点和原理的基础上，重点讨论了该技术在家庭网络中应用的优势和实现，并介绍了超宽带技术在其他方面的最新应用。(】 UWB with its high-speed, high spectral efficiency, low cost, low power and wide application and a series of advantages unprecedented attention by the industry. It is precisely because of its high-performance, low-cost wireless data communication capabilities, unlimited personal LAN to achieving competitive technologies. Introducing the ultra-wideband technology (UWB) basic characteristics and principles, based on a focus on the application of technology in the home network and realize the advantages, and describes other aspects of UWB technology in the latest application.)

annlyap This M-file calculates Lyapunov exponents with minimum RMSE neural network.

说明：  用MATLAB实现非线性规划中的最速梯度法，并有GUI图形(MATLAB realization of non-linear programming used in the steepest gradient method, and graphical GUI)

自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。 在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。 二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。 BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods. Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs. Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)

这个是我的毕业设计做的我觉得对大家还是有写用的，所以我给打击看看希望大家也给点意见。(this is my graduation design so I think people are still used to write, So, I hope to see you blow also points.)

matlab调用c程序经典实例,详细注释了接口函数和参数的意义功能，并以实例的形式完成matlab对c程序的调用(a classic example of matlab calling C source codes)

这是一个曲率算法实现工具,对图像处理有着重要的应用,并有测试代码(This is a curvature algorithm tool for image processing has important applications, and test code)

Domain steganography

EEG电极位置信息，用于EEGLAB处理时读入电极信息，其他个数的电极可参考该文件的格式，将电极位置按格式读取，即可导入到eeglab(electrode information of EEG)

粒子群优化算法（PSO）研究 粒子群优化算法（PSO）研究(PSO Particle Swarm Optimization Algorithm)