number

改程序为切比雪夫拓扑结构的直线阵的matlab代码(Reform program for the Chebyshev linear array topology matlab code)

K-Means聚类算法 Matlab代码(K-Means clustering algorithm Matlab code)

Matrices aleatoires : Statistique asymptotique des valeurs propres

串级控制系统(Cascade control system)

摘 　要:阐述了数字滤波器的设计方法 ,分析了运用 MATLAB软件进行 IIR和 FIR数字滤波器设计的过程。 研究 与实践表明:教学中 ,运用 MATLAB软件进行数字滤波器设计及实现 ,可增强学生的感性认识 ,加深对数字滤波器 设计基本原理的理解 ,改善教学效果。(Abstract: This paper describes the design of digital filter methods, analysis of the use of MATLAB software IIR and FIR digital filter design process. Research and practice shows that: teaching, the use of MATLAB software digital filter design and realization of perceptual knowledge to enhance students understanding of the basic principles of digital filter design understanding, enhance the effectiveness of teaching.)

此为《MATLAB教程》的第八章：特征值和特征向量。该书内容翔实，深入浅出，不可多得。(This is the MATLAB Guide in Chapter VIII: Eigenvalues and eigenvectors. Book is informative, easy, hard to come by.)

包括最小二乘法、SVM、神经网络、1_k近邻法,小波包分析提取振动信号中的特征频率，利用最小二乘算法实现对三维平面的拟合。( Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Wavelet packet analysis to extract vibration signal characteristic frequency, Least-squares algorithm to fit a three-dimensional plane.)

sttc，stbc blabst等的编码(sttc stbc)

本程序是计算振动信号各种参数的实验程序。 主要功能是计算均值、标准差、方差、偏斜度、峭度、 峰峰值、方根幅值、平均幅值、峰值、 波形指标、峰值指标、脉冲指标、裕度指标。 ( This program is to calculate the vibration signals of various parameters experimental procedures. The main function is to calculate the mean, standard deviation, variance, skewness, kurtosis, peak-peak amplitude of the square root of the average amplitude of the peak, waveform indices, peak indicators, pulse index, margin targets.)

Support vector machine is a machine learning method that is widely used for data analyzing and pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard incarnation was proposed by Corinna Cortes and Vladimir Vapnik. This application note is to helping understand the concept of support vector machine and how to build a simple support vector machine using Matlab