资源列表
34401259eof
- EOF主成分分析，用于数据处理，科研工作常用(EOF principal component analysis is used for data processing and scientific research.)
chaoliujisuan
- 电力系统传统潮流计算，为后续电力系统计算提供初值(Traditional power flow calculations in power systems provide initial values for subsequent power system calculations)
rbf.m
- rbf Matlab 源程序 仅供参考学习使用，如有错误请指正。(rbf Matlab The source program is for reference only. Please correct if there is any mistake.)
flostft
- 构造一个跳频信号使之产生稳定的时频波形，并用汉宁窗去 进行时频分析(To construct a frequency hopping signal that is generated when the frequency waveform is stable, and with a Hanning window to time-frequency analysis)
arraysignalmusicachieve
- music算法的实现和应用 非常经典好用 很实在(Music algorithm implementation)
channel capacity
- 对不同调制方式（包括BPSK,QPSK,16QAM,64QAM）的信道容量的计算仿真实现(Simulation and implementation of channel capacity for different modulation modes.)
jiefangcheng
- 使用高斯-赛德尔迭代法和雅克比迭代法求解线性方程组；使用高斯法和列主元法求解线性方程组。(Using the Gauss - Seidel iterative method, Jacobi iterative method for solving linear equations and using Gauss method and column principal component method to solve linear equations.)
GMMs
- function对数据EM算法进行fit，并对产生的高斯混合模型的最大似然估计进行绘图。输出结构体obj，带有高斯混合模型的参数mu，sigma。(Function carries out fit for data EM algorithm, and draws the maximum likelihood estimation of the Gauss mixture model. The output structure is obj, with the parameter mu and s
da
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法，它用于把弱分类器联合成强分类器；SVM本身就是(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haa
fa(4)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程)(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast
MATLAB
- 数字滤波器的设计巴特沃之法等波纹发卡尔曼滤波等几种滤波器是设计(Digital filter design method Batewo equiripple filter Calman filter is designed several)
Matlab
- 基于Matlab的BA无标度网络拓扑生成算法，BA模型有两个重要特性：增长特性和优先连接特性(BA based scale-free network topology generation algorithm based on Matlab. There are two important characteristics of BA model: growth characteristics and priority connection characteristics.)