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《matlab gui设计学习手册》 第二版 2012年新版 第五章源码( matlab gui the second edition)

采用卡尔曼滤波器滤除语音信号中的有色噪声，采用Matlab实现，并给出了实例(Kalman filter to filter the speech signal colored noise, using Matlab to achieve, and gives an example)

潮流计算在matlab中的程序使用，根据电力系统中的公式，在matlab中进行实现(Flow calculation in matlab program using a formula based on the power system, carried out to achieve in matlab)

牛顿法进行二次曲面分析，计算各迭代点的局部值(Newton s method analysis of quadric surface, the local value of iterative point is calculated)

我们确定数字滤波器的幅度函数并画出幅度函数图。(We define digital filter amplitude function and draw the amplitude function diagram.)

视频转换程序matlab中编写视频转换程序matlab中编写视频转换程序matlab中编写视频转换程序matlab中编写(Video conversion program matlab video conversion program matlab write write write video conversion program matlab video conversion program matlab write)

一种新的有色噪声背景下chirp信号参数估计方法_于晓辉.pdf(A new colored noise background chirp signal parameters estimation method _ in Xiaohui. Pdf)

双谱分析获取信号成分，PCA获取信号主成分，剔除无用成分(PCA extracted bispectrum principal component, data compression, signal acquisition signal independent components, principal component.)

说明：  SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能： 实验设计：中心复合设计，全因子设计，拉丁超立方体设计，D-optimal和maxmin设计。 代理：克里金法，多项式响应面，径向基神经网络和支持向量回归。 错误和交叉验证的分析：留一法和k折交叉验证，以及经典的错误分析（确定系数，标准误差;均方根误差等;）。 基于代理的优化：高效的全局优化（EGO）算法。 其他能力：通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities: Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others). Surrogate-based optimization: efficient global optimization (EGO) algorithm. Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)

STUDY OF VARIOUS NOISE MODEL AND FILTERING TECHNIQUES