-
SVM-Related-Resources-Summary
介绍了SVM的基础知识，包括：SVM入门（一）SVM简介；SVM入门（二）线性分类器part1；SVM入门（三）线性分类器part2；SVM入门（四）线性分类器的求解—问题的描述part1；SVM入门（五）线性分类器的求解—问题的描述part2等。(Describes the basics of SVM, including: SVM Getting Started (1) SVM Introduction SVM Getting Started (2) linear classifier part1 SVM Getting Started (3) linear classifier part2 SVM entry (d) the solution of a linear classifier- description of the problem part1 SVM Getting Started (5) the solution of the linear classifier- description of the problem part2 and so on.)
- 2009-12-24 09:40:53下载
- 积分：1
-
2345
MATLAB非常丰富的计算机仿真实例与讲解，附有源代码。(MATLAB is very rich and explain examples of computer simulation, with source code.)
- 2009-07-15 21:04:51下载
- 积分：1
-
NRlogistic
罗吉斯回归程序 提供matlab环境下仿真程序(Logistic regression procedure matlab simulation environment)
- 2009-05-26 22:22:59下载
- 积分：1
-
fir_com
用matlab实现低通滤波器。采用的是FIR低通滤波器实现。(Low pass filter with matlab. Using the FIR low-pass filter.)
- 2011-04-29 15:01:26下载
- 积分：1
-
encode
实现基本（15，11）汉明码的编码及译码过程的MATLAB仿真(Achieve basic (15,11) Hamming code encoding and decoding process of MATLAB simulation)
- 2020-12-31 15:59:00下载
- 积分：1
-
n-bus-Power-Flow-Solver-1
DESCRIPTION: This Matlab algorithm performs many tasks associated with
power system analysis. First, it has the ability to perform both fully
coupled and dc power flow analysis. Second, it has the ability to create
measurements (with user-defined error) to be used as input for state
estimation. Third, it has the ability to perform state estimation -
allowing the user to examine how the placement of measurement devices as
well as magnitude of distibution of measurement error affect the
discrepency between power flow and state estimation results. In essence,
it provides the user with a complete package for the study of both power
flow and state estimation in n-bus power systems.
- 2013-03-18 22:11:07下载
- 积分：1
-
ukf
An implementation of Unscented Kalman Filter for nonlinear state estimation.
(Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system.
The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF.
For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)
- 2010-12-14 16:39:43下载
- 积分：1
-
human6
边缘检测，边缘检测，边缘检测，边缘检测，边缘检测，(edge detection)
- 2011-04-19 21:19:55下载
- 积分：1
-
DocumentBuilderSetting
This class is an parser setting, such as non-validating or entity-expanding.
- 2014-01-16 13:24:27下载
- 积分：1
-
Digital_Signal_Processing_MATLAB_program_source_co
数字信号处理MATLAB程序实例源码Digital Signal Processing MATLAB program source code examples(Digital Signal Processing MATLAB program source code examples)
- 2010-08-12 16:10:13下载
- 积分：1
