搜索资源列表
saperate
- 信源数动态变化的自适应盲分离算法-一种新的盲源分离算法，与大家共享。-Source number of dynamic changes of adaptive blind source separation algorithm- a new blind source separation algorithm, and for all to share.
saperate3
- 《超高斯与亚高斯混合信号的盲分离研究》，有用的忙分离算法文章。- Super-Gaussian and sub-Gaussian mixed-signal study of blind source separation, separation algorithm busy useful article.
saperate4
- 基于广义特征值和核函数的非线性盲分离算法.pdf-Based on the generalized eigenvalue and nuclear function algorithm for nonlinear blind source separation. Pdf
saperate5
- 盲源分离——理论、应用与展望.pdf-详细介绍了盲源分离的理论和应用。-Blind Source Separation- Theory, Application and Prospects. Pdf-detailed information on blind source separation theory and applications.
20090226
- 从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的 分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分 量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混 合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the independence of the starting signal
FastICA
- 盲源分离中最为经典的不动点算法——FastICA,该算法简单，对初学者有很大的帮助-Blind Source Separation in the most classical fixed-point algorithm- FastICA, the algorithm is simple, for beginners there is a great help
kpca
- KPCA是一种非线性的盲源分离方法，很好用，推荐大家下载！-KPCA is a nonlinear blind source separation methods, very good, and recommend everyone to download!
BS-NG
- 盲信号自然梯度法盲分离程序，用于进行瞬时盲分离-Natural Gradient Blind Signal Separation legal procedures, for instantaneous blind source separation
zishiyingfufankui
- 用于神经网络自适应算法的Matla盲源分离 -Adaptive algorithm for neural networks of the Matla Blind Source Separation
LMS
- 盲信号分离的LMS(最小二乘)自适应算法-Blind Signal Separation of LMS (least squares) adaptive algorithm
PAST2
- 基于投影逼近的子空间跟踪（PAST）方法，用于自适应盲信号分离-Based on the projection approximation subspace tracking (PAST) method for adaptive blind signal separation
Wigner_Hough
- 一种基于盲源分离和Wigner_Hough变换的线性调频信号检测方法.模式识别中的内容，图像图像处理的经典算法-Based on Blind Source Separation and Chirp Transform Wigner_Hough signal detection methods. Of the contents of pattern recognition, image of the classical image processing algorithm
SOBI
- 基于二阶统计量的盲源分离算法程序,对原始算法做了一定得改进。-blind source separation based on second order statistics，madke some improvement to the origin arithmetic
FastICAProcedure
- 利用FastICA实现盲信号分离，研究盲信号分离的朋友不可缺少的帮助程序-Use FastICA to achieve blind signal separation, blind signal separation research indispensable friend to help program
AMUSE
- AMUSE，独立成分分析(ICA)算法之一，用于混合语音信号的盲分离-AMUSE, algorithm of independent component analysis, used in blind speech signal separation.
bss_Zhangxianda
- 盲信号分离及其应用，张贤达教授的作品。格式为PDF形式的幻灯片。对盲分离初学者有用。-Blind Source Separation with Applications
jade
- 盲信号分离的联合对角化算法。可设置分离信号个数，运算速度较快-Blind Signal Separation algorithm for joint diagonalization. Can set the number of split signals, computing speed
FastICA_25
- 这是关于fastICA不定点算法的程序，运行环境为matlab，可实现盲信号分离-This is about non-fixed-point algorithm fastICA program, running environment for matlab, can realize blind signal separation
ICA
- 本文首先概述了独立成分分析与盲信号分离， 主成分分析的关系， 然后系统地介绍了该技术的基本概念和数据模型， 对现今比较流行的各种独立成分分析算法进行了剖析和总结。最后对独立成分分析的发展及应用前景作了展望-In this paper, an overview of independent component analysis and blind signal separation, principal component analysis of the relationship, and the
sanfuICA
- 本程序通过优化ICA算法实现了混合图像的盲源分离，分离效果优于一般ICA算法-This procedure optimized ICA algorithm is a mixed picture of blind source separation, separation is better than the general ICA algorithm is