sqlserverdatamining

一个matlab里面用的很好用的小工具 是用来算出den,num以及一切zplane的(Matlab inside with a good used small tools are used to calculate the den, num, as well as all the zplane)

介绍粒子滤波算法的程序，具有一定的指导意义(Particle filter algorithm describes the procedure has certain guiding significance to)

matlab常用函数，是一些基本的函数，说明及使用(matlab function)

功能：对矩阵A的左上角的m阶对角块作QR变换：先用Givens变换作QR分解A=QR， 再作相似变换A:=Q AQ=RQ. 输入: n阶HessenbergA，其中A(m+1,m)=0,m>2. 输出: 变换后的Hessenberg形矩阵A. 2 用基本QR算法求实方阵的全部特征值.(Function: the upper left corner of the matrix A, diagonal blocks of order m to QR transformation: first, to make QR decomposition using Givens transformations A = QR, re-similarity transformation A: = Q' AQ = RQ. Input: n-order HessenbergA, where A (m+1, m) = 0, m> 2. Output: transformed Hessenberg form matrix A. 2 matrix with the basic QR algorithm for all the characteristics of the value of truth-seeking.)

hodge decomposition for 2D vector fields.

说明：  RLC游程编码程序,matlab可直接运行(RLC routine)

提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。(extract information based on the instan eous features : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, a signal to one of the instantaneous frequency of the power spectral density of the maximum, According to 16QAM and QPSK signals XI axis projection in the different performance parameters raised.)

使用MATLAB编程仿真分析ADC的SNR(ADC SNR analysis)

这事很不错的半定规划matlab软件,this is the important software of SDP.(this is the important software of SDP.)

说明：  用QR分解来解方程AX=b，其中QR分解是用householder变换做的(With QR decomposition to solve the equation AX = b, where QR decomposition is done using householder transformation)