lpc-analysis

This code allows the development and application of methods of decoding and decryption of satellite system GLONASS.

用于实现基于随机有限集目标跟踪的matlab程序，拥有详细注释(Matlab program for JPDA implementation, with detailed annotations)

这是在matlab下实现的包络检波算法法。先对信号进行调制，然后进行包络检波。 (This is the method of envelope detection algorithm under Matlab. First signal modulation, and then proceed to the envelope detector.)

利用MAT—LAB对实验数据进行了基于表面轮廓法的三维图像重构，观察不同的平滑领域参数以及轮廓提取阈值对三维重构效果的影响。(In this paper，taking advantage of MATLAB we reconstruct experiment data into three dimension image in the way of feature-based method， and observe the effect of different parameters，such as the size of smooth convolution kernel and the threshold of ex— traction contour，on the quality of three dimension reconstruction)

空间平滑多信号分类角度估计算法MATLAB实现(Multiple signal classification spatial smoothing angle estimation algorithm based on MATLAB realization)

模式分类（中文版），课后题，172页第2题，MATLAB源程序(Pattern Classification (Chinese version), after-school question, 172 2 title, MATLAB source code)

最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测(Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction)

Code for Content based image retrieval

感应双馈发电机系统的仿真，大学数值分析算法，实现典型相关分析，用于信号特征提取、信号消噪，包括AHP，因子分析，回归分析，聚类分析，包含位置式PID算法、积分分离式PID，时间序列数据分析中的梅林变换工具，使用混沌与分形分析的例程。( Simulation of doubly fed induction generator system, University of numerical analysis algorithms, Achieve canonical correlation analysis, For feature extraction, signal de-noising, Including AHP, factor analysis, regression analysis, cluster analysis, It contains positional PID algorithm, integral separate PID, Time series data analysis Mellin transform tool, Use Chaos and fractal analysis routines.)

（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)