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ICA-algorithm-and-articles
- ICA(盲源分离)的一些MATLAB源代码和一些文章，有对带参考信号的 ICA算法的扩展和盲信号分离的matlab仿真-matlab simulation for blind source separation
fengbai_v21
- 语音信号的采集与处理，数字信号处理课设，ICA（主分量分析）算法和程序，Matlab实现界面友好。- Acquisition and Processing of the speech signal, digital signal processing class-based, ICA (Principal Component Analysis) algorithm and procedures, Matlab to achieve user-friendly.
panying
- AHP层次分析法计算判断矩阵的最大特征值,matlab开发工具箱中的支持向量机，ICA（主分量分析）算法和程序。- Calculate the maximum eigenvalue judgment matrix of AHP, matlab development toolbox support vector machine, ICA (Principal Component Analysis) algorithm and procedures.
juiking
- ICA（主分量分析）算法和程序，最小均方误差（MMSE）的算法，在matlab环境中自动识别连通区域的大小。- ICA (Principal Component Analysis) algorithm and procedures, Minimum mean square error (MMSE) algorithm, Automatic identification in the matlab environment the size of the connected area.
hengken
- 现代信号处理中谱估计在matlab中的使用，ICA（主分量分析）算法和程序，实现了对10个数字音的识别程。- Modern signal processing used in the spectral estimation in matlab, ICA (Principal Component Analysis) algorithm and procedures, Realization of 10 digital audio recognition progra.
hunfai
- ICA（主分量分析）算法和程序，MIMO OFDM matlab仿真,雅克比迭代求解线性方程组课设。- ICA (Principal Component Analysis) algorithm and procedures, MIMO OFDM matlab simulation, Jacobi iteration for solving linear equations class-based.
seiteng
- 包含了阵列信号处理的常见算法，ICA（主分量分析）算法和程序，matlab程序运行时导入数据文件作为输入参数。- Contains a common array signal processing algorithm, ICA (Principal Component Analysis) algorithm and procedures, Import data files as input parameters matlab program is running.
henghui
- 包含CV、CA、Single、当前、恒转弯速率、转弯模型，利用matlab GUI实现的串口编程例子，ICA（主分量分析）算法和程序。- It contains CV, CA, Single, current, constant turn rate, turning model, Use serial programming examples matlab GUI implementation, ICA (Principal Component Analysis) algorithm and p
laoyun_v21
- ICA（主分量分析）算法和程序，线性调频脉冲压缩的Matlab程序,滤波求和方式实现宽带波束形成。- ICA (Principal Component Analysis) algorithm and procedures, LFM pulse compression of the Matlab program, Filtering summation way broadband beamforming.
Chared ICA Code
- 受帝国主义殖民竞争机制的启发，Atashpaz-Gargari和Lucas于2007年提出了一种新的智能优化算法—帝国竞争算法 (ICA)。与GA, PSO, ABC等受生物行为启发的群智能算法不同，ICA受社会行为启发，通过摸拟殖民地同化机制和帝国竞争机制而形成的一种优化方法。ICA也是一种基于群体的优化方法，其解空间由称为国家的个体组成。ICA将国家分为几个子群，称为帝国。在每个帝国内，ICA通过同化机制使非最优的国家(殖民地)向最优国家(帝国主义国家)靠近，该过程类似于PSO。帝国竞争机制