SMOmodel

小波光谱去噪源代码，包含三种阈值去噪方法和误差分析(Wavelet Spectra Denoising source code, including the three threshold denoising method and error analysis)

局部最小距离分类器，性能高于knn分类器，matlab环境下，可直接调用(Local minimum distance classifier, classifier performance than knn, matlab environment, can be called directly)

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)

multifractal dfa analysis with matlab code within

压缩感知的信号恢复算法集合，包括ISD_v1.1，l1magic-1.1和sparsify_0_5(Compressed sensing signal recovery algorithms collections, including ISD_v1.1, l1magic-1.1 and sparsify_0_5)

利用RGB-IHS变换实现高分辨率图像和低分辨率图像的融合。(The use of RGB-IHS transformation to achieve high-resolution images and the integration of low-resolution images。)

Matlab based Neural Network train system

Calculate displacement and strain a series of images

matlab仿真中用s函数编写的信号频率测定程序(s function matlab simulation using test procedures prepared by the signal frequency)

小波去噪，小波阈值公式的改进，改进的小波阈值公式(Wavelet denoising, improved wavelet threshold formula and improved wavelet threshold formula)