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Description: 串音误差检测，利用ica算法实现盲信号分离，以及检测输入信号叠加分离后的误差-crosstalk error detection algorithm using ica Blind Signal Separation. the input signal detection and separation of superposition error
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Size: 1189 |
Author: 李健康 |
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Description: 这是一个基于VC++平台开发出来的人脸识别/检测源码,对于研究人脸的识别有一定的帮助!-This is a development platform based on the VC the Face Recognition/Detection source, for the Study of Human Face Recognition can help!
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Size: 245760 |
Author: 陈朋 |
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Description: 利用ICA变换进行人脸检测,是一种新的人脸检测方法-ICA transform the use of face detection, is a new face detection method
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Size: 12288 |
Author: 马江林 |
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Description: 这是一个介绍ICA在动态多变量过程的故障检测与诊断中应用的文章-This is an introduction ICA in a dynamic multi-variable process fault detection and diagnosis of the article
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Size: 89088 |
Author: 苏醒 |
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Description: 人脸检测源代码. The souce demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification -Face detection source code. The souce demonstrates face detection SSE optimized C++ Library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification
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Size: 366592 |
Author: huangtyu |
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Description: ：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出
应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音
乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高
斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪
方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.
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Size: 212992 |
Author: 金振东 |
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Description: 基于ICA的数字水印检测，可用于数字水印的检测和提取水印-ICA-based detection of digital watermarking, digital watermarking can be used for the detection and extraction of watermark
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Size: 64512 |
Author: pengfeiwu |
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Description: 本文在研究了MIMO-OFDM系统以及独立分量分析的基础之上提出了一种适用用于MIMO-OFDM系统的盲多用户检测方法，基本思想是将现有的ICA算法应用到MIMO-OFDM系统中对多用户进行信号恢复。-MIMO_OFDM multiuser detection
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Size: 2184192 |
Author: lili |
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Description: Chesnokov Yuriy写的人脸检测库，内容涵盖肤色检测、运动估计、SVM分类、PCA/LDA/ICA特征提取以及神经网络分类器等。-The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification
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Size: 463872 |
Author: 刘子木 |
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Description: 本文件是关于独立成分分析的文章，对与盲水印检测和提取有帮助，值得一看。-This document is an article on the Independent Component Analysis for blind watermark detection and extraction with the help, worth a visit.
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Size: 2409472 |
Author: songziqi |
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Description: 本文的目的是提供一个我开发的SSE优化的，C++库，用于人脸检测，你可以马上把它用于你的视频监控系统中。涉及的技术有：小波分析，尺度缩减模型（PCA,LDA,ICA），人工神经网络（ANN），支持向量机（SVM），SSE编程，图像处理，直方图均衡，图像滤波，C++编程，还有一下其它的人脸检测的背景知识-The purpose of this paper is to provide an I developed SSE optimized, C++ library, used for face detection, you can immediately use it for your video surveillance system. The technology involved are: wavelet analysis, scaling down model (PCA, LDA, ICA), artificial neural network (ANN), support vector machine (SVM), SSE programming, image processing, histogram equalization, image filtering, C++ programming, but also what other people have the background knowledge of face detection
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Size: 2305024 |
Author: 憨豆 |
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Description: Blind Source Seperation (BSS) now is a important technology. Independent Component Analysis (ICA) is the main technique of BSS. Suppose we mix many non-Gausse signal sources,ICA can seperate the mixed signal to orignal signals without any information.
This Matlab Code simulate the using ICA for Multi User Detection (MUD) in CDMA system. We demo the CDMA system with 30 Users, and use ICA seperate the signal of each user at Base Transmit Station (BTS) with the only 30 Users signal.
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Size: 4298752 |
Author: Tuyen |
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Description: 完整的包括皮肤及动作识别的C++人脸检测源代码，涉及的技术有：小波分析，尺度缩减模型（PCA,LDA,ICA），人工神经网络（ANN），支持向量机（SVM），SSE编程，图像处理，直方图均衡，图像滤波，C++编程等。-Complete, including skin and actions identified C++ face detection source code, the technology involved are: wavelet analysis, scaling down model (PCA, LDA, ICA), artificial neural network (ANN), support vector machine (SVM), SSE Programming , image processing, histogram equalization, image filtering, C++ programming.
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Size: 462848 |
Author: 黄大伟 |
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Description: face detection using 3-D ICA
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Size: 1149952 |
Author: hoa |
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Description: 用ICA方法实现图像的边缘检测 ，使用的是FAST-ICA算法，包含数据白化过程-ICA method to achieve image edge detection using the FAST-ICA algorithm contains data bleaching process
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Size: 1164288 |
Author: 魏交统 |
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Description: infomax ICA的算法实现，并在其中给出了一个infomax ICA的算法用于图像边缘检测的例子-infomax ICA algorithm, which gives an infomax ICA algorithm for image edge detection example
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Size: 1165312 |
Author: 魏交统 |
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Description: Independent component Analysis (ICA) for fault detection use SPE statistic and I^2 statistic
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Size: 2048 |
Author: faryad tadayon |
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Description: ICA的具体算法流程及对TE过程进行故障检测的应用-ICA and fault detection on TE
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Size: 4334592 |
Author: 郑文静 |
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Description: 主要是运用ICA算法提取独立分量ICs,建立相关统计量，用于TE过程的故障检测(The ICA algorithm is used to extract the independent component ICs and establish correlation statistics for fault detection in TE process.)
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Size: 4335616 |
Author: 1677957795@qq.com |
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Description: 基于EEMD的回转支承故障多尺度ICA方法
检测与诊断(EEMD-based multiscale ICA method for slewing bearing fault
detection and diagnosis)
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Size: 4282368 |
Author: 杨小花呀~ |
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