06392989

训练集/测试集产生 load spectra_data.mat 随机产生训练集和测试集 temp = randperm(size(NIR,1)) 训练集——50个样本 P_train = NIR(temp(1:50),:) T_train = octane(temp(1:50),:) 测试集——10个样本 P_test = NIR(temp(51:end),:) T_test = octane(temp(51:end),:) N = size(P_test,2) 数据归一化 ( Training set/test set generation load spectra_data.mat randomly generated training set and test set temp = randperm (size (NIR, 1)) training set- 50 samples P_train = NIR (temp (1:50) ,:)' T_train = octane (temp (1:50 ),:)' test set- 10 samples P_test = NIR (temp (51: end ),:)' T_test = octane (temp (51 : end ),:)' N = size (P_test, 2) Data Normalization)

RSS measurement using Friis formula

《Boost程序库探秘:深度解析C++准标准库》深入探讨了其中的许多重要组件，包括迭代器、函数对象、容器、流处理、序列化以及C++语言中最复杂最具威力的模板元编程。(" Boost library Quest: C++ quasi-depth analysis of the standard library" deeply explored many of the important components, including iterators, function objects, containers, stream processing, sequencing, as well as the most complex language C++ most powerful template meta-programming.)

用于图像处理的三类边缘保护滤波器，导向滤波、双边滤波、联合双边滤波。(Three types of edge protection filter for image processing-oriented filtering, bilateral filtering, joint bilateral filtering.)

matlab例程，非常好用，便以移植,bianyuxuexi(matlab routines, very easy to use, then to transplant, bianyuxuexi)

it is the matlab code of particle swarm optimization with a test function that can be change..

用matlab实现OFDM仿真和性能分析(Achieved with the matlab simulation and performance analysis of OFDM)

通过应用matlab实现高斯算法，用EM估计GMM的数据参数，并把运算时其遗漏数据补全(Matlab achieved through the application of Gauss algorithm estimates GMM data parameters EM, and the missing data when computing its complement)

各种方法的去噪程序 den1.m 使用半软阈值方法对图像进行去噪 den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波 den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的 den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪 den2.m 用软硬阈值函数的改进方法进行去噪 den3.m 用广义阈值函数进行去噪 den4.m 用自适应特征阈值函数进行去噪 wdenoise.m 用Donoho阈值或Birge-Massart策略及软阈值或硬阈值函数进行去噪 meanfilter.m 均值滤波方法进行去噪(对比用) medfilter.m 中值滤波方法进行去噪(对比用)(Denoising procedures for various methods Den1.m using semi soft threshold method for image denoising The improved method of den1_5_1.m semi soft threshold for the first layer of the reconstructed image The improved method of den1_9.m semi soft threshold will be changed linear to exponential. The improved method of den1_10.m semi soft threshold for the first layer of the reconstructed image again for wavelet thresholding denoising Den2.m using the soft and hard threshold function to improve the method of denoising Den3.m using generalized threshold function for denoising Den4.m with adaptive feature threshold function for denoising Wdenoise.m with Donoho threshold or Birge-Massart strategy and soft threshold or hard threshold function for denoising Meanfilter.m mean filtering method for denoising (contrast) Medfilter.m median filtering method for denoising (contrast))

这个是一个比较基础的东西，比较适合初学者来学习，同时，最小二乘法是一个很不错的拟合方法(two priority methods-least logarithm square method)