资源列表
DLS
- 这里面是递推阻尼最小二乘辨识算法，主要用于系统辨识，参数估计，非线性系统建模以及系统工程领域。-There is a recursive damped least squares identification algorithm, mainly used for system identification, parameter estimation, nonlinear system modeling and system engineering.
CARMA_GI
- 这是“受控自回滑动平均模型”CARMA非线性系统的随机梯度辨识算法，用于参数估计以及模型建模。-This is a " controlled slide back the average model" CARMA nonlinear system stochastic gradient identification algorithm for parameter estimation and modeling.
Hammerstein-RLS
- 这是Hammerstein系统加输入死区的递推增广最小二乘法参数辨识程序，可以运行。-This is a plus input recursion system Hammerstein dead Augmented least squares method parameter identification program can be run.
Sgs
- 基于opencv的单高斯模型实现物体检测-Achieve object detection based on single Gaussian model opencv
castleintheSky
- 天空之城钢琴曲完美版源码分享。利用天空之城简谱和MATLAB编写的程序，分享给大家-Laputa piano perfect version of the source code sharing. Sky City and use MATLAB notation programs written for everyone to share
GS
- 基于opencv实现的去除背景后的单高斯算法-Gauss algorithm based on single post opencv realized remove background
Matlab-libsvm-3.21
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包.-LIBSVM is a simple, easy to use and fast and efficient SVM pattern recognition and regression package Taiwan University Chih- Jen Lin (Lin Chih-Jen) development and design professor.
enrichment.function
- 为基因序列进行富集功能分析，对具有已知功能的基因进行筛选并列出富集的基因-Functional analysis for gene array
Power-System-Fault-Analysis-
- 此仿真模型包括：无穷大功率电源供电系统三相短路仿真、同步发电机暂态仿真、小电流接地系统单项故障仿真。-This simulation model includes: unlimited power supply system of three-phase short circuit simulation, transient simulation synchronous generator, a small current grounding system of single fault sim
FastICA
- 语音信号的盲源分离算法，其中包含了例子和算法-Blind source separation of speech signals, which contains examples and algorithms
dvbt2
- dvb-t2matlab开发代码，最新的，完整的仿真环境，可以直接开发使用，我就是使用这个代码完成了整个t2调制器的开发，现在已经产品化了，有不懂得，可以问我，QQ116164690-dvb-t2 matlab code ， communication and simulation
dvbt2simulation
- dvb-t2完整的仿真代码，matlab ，qq116164690-dvb-t2 simulation code ，please contact me if anyqestion ， qq116164690