WPD

处理信号的时频分析，采用了小波去噪的思想，比较了软阈值，硬阈值及当今各种阈值计算方法。( When processing a signal frequency analysis, Using wavelet denoising thought, Comparison of soft threshold and hard threshold and today various threshold calculation method.)

（压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat 3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat 4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat 5.用runfnn.m对rstest进行测试得到其识别率 savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.(pca+ lda+ Rough Set+ fuzzy neural network saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat 2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat 3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat 4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat 5. Rstest used to test for runfnn.m by its recognition rate cm.m is savem.m and minimum distance classifier on the training set and test set classificati)

2D Gaussian filter with varying kernel size and variance

包含matlab模型和文档以及电路图，很实用的(Contains the the matlab model and documentation and schematics, very practical)

papers related to cross layer WSN where to find location and algorithm used in mac and phy layer

Identifying overlapping period in time series. Required input: X = structure with in every cell (X{cell}) a measurement station. every cell has its first three columns as [year,month,day] Output: begin_date = is beginning date of overlapping periods end_date = end date of overlapping periods output = structure with overlapping periods filtered numcell = number of measurement stations

研究了自适应参数谱估计的基本原理，提出了基于最小均方误差(MMSE)准则的LMS格型滤波算法实 现自适应参数谱估计的方法。通过对仿真测试信号和线性调频信号的计算表明，该方法能够在改善谱分辨率的 同时提高运算效率，满足遥测速变信号的处理和分析计算的要求(This paper discusses the principle of adaptive parametric spectrum estimation．It provides an approach to es— timate power spectrum with a lattice filter according to the minimum mean square error(MMSE)criterion．The test re— sults of simulated observation signal and linear frequency modulation signal indicate this method improves the spectrum resolution and calculation eficiency，completely meets the requirements of the teleme data processing and analysis、)

扩展卡尔曼滤波源代码 希望能够对学习Kalman技术的朋友有所帮助(Extended Kalman filter source code hope to be able to learn from friends Kalman technical help)

Simultaneous Displacement Method for a linear equations system

adaboost训练过程很烦琐，收集了Adaboost的改进算法的论文汇总，对做Adaboost的同志很有帮助(adaboost training process is very cumbersome, a collection of papers Improved Algorithm for Adaboost summary, very helpful for the comrades to do Adaboost)