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icalab
- The ICA/BSS algorithms are pure mathematical formulas, powerful, but rather mechanical procedures: There is not very much left for the user to do after the machinery has been optimally implemented. The successful and efficient use of the ICALAB stron
sinecostas
- 用costas环检测淹没在噪声和未知任何先验参数的正弦信号检测-with Costas Loop Detection drowned in the noise and any a priori unknown parameters of sinusoidal signal detection
bss_gbjz_ep_eeg_end
- 语音信号的盲分离，是一个很好的在没有先验知识的情况下的分离程序！-voice signals in the blind separation is a good in the absence of a priori knowledge of the separation procedure!
gmm_prob
- 计算高斯混合模型先验概率和后验概率的程序，采用大矩阵运算，大大提高了运行速度。-Gaussian mixture model calculated a priori probability and the probability of post-mortem procedures, using a large matrix computation, greatly improved speed.
ImageSegmentation_vcRes
- 在源码实现的研究过程中将采取基于水平集方法的几何活动轮廓模型如测地轮廓模型或Mumford-shah模型与其他的分割方法的结合。针对具体的图像可以将一些先验知识（灰度和形状信息）加入到算法中-source realized in the course of the study will be taken based on the level set method of the geometric active contour models such as the geodesic contour
noseecluster
- 聚类分析技术有着广泛应用.因为在对图像进行聚类分析时,通常缺少可资利用的先验知识,所以需要采用无监督的聚类算法.为了适应图像检索的需要,提出了一种新型的无监督聚类方法,即根据离群点信息来自动确定聚类算法的终止时机.此方法还弥补了现有聚类算法在离群点识别、使用上的缺欠.为验证其可行性,用其改进了CURE和ROCK两个经典算法.实验表明,改进后的两个算法都能自动终止,并能取得优于以往的聚类效果. -clustering analysis techniques have wide applicatio
gisyudianzishangwu
- 一种车牌字符分割方法，属于图象处理技术领域，涉及车牌自动识别技术。采用拉普拉斯变换、区域生长和车牌先验知识相结合的方法-a license plate characters segmentation method, is the field of image processing technology, involving the installation of the Automatic Identification Technology. Using Laplace transform, r
Apriori
- Apriori算法的JAVA实现A priori算法的JAVA实现
FaceDetection
- aceDetection工程运行时，首先要通过文件“打开 载入图片face.bmp,而后才可以进行人脸检测 操作，需要强调的是人脸区域检测、眼睛的检测与定位、人嘴的检测与定位、人脸的勾勒四个处理 模块必须按照先后顺序进行，而且各个模块内的各项操作也必须按照菜单栏从上至下的顺序来进行。 另外，由于在人脸检测时用到了先验知识，所以目前只能对给定的图片face.bmp进行处理。-aceDetection running, First to file "opened face.bm
Versatilevisualservoing
- Versatile visual servoing without knowledge of true jacobian.pdf cobian matrix estimator. The Jacobian matrix estimator does not need a priori knowledge of the kinematic structure and parameters of the robot system, such as camera and link para
linear_system_identification.tar
- The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is
ICA2000_reprint.doc
- 具有带通选择性的ICA算法可以改善对于带通时间序列的分离以及对于周期性脑功能响应信号的提取. 因此本文提出的方案可将被估计信号, 如:周期性响应信号以及具有平滑空间分布的脑功能激活区, 的先验特性以特征选择的方式加入ICA算法用以提高对此类信号的估计-with selective ICA algorithm can be improved for the band pass time series, as well as for the separation of brain function
算法设计五
- 误差分析的方法有多种，例如，威点逊（J. H. Wilkison）针对的计算机的浮点运算提出的“向后误差分析”，这是一种先验估计误差的方法，较以往的“向前误差分析”在矩阵运算的舍入误差估计上有较好的结果，以而使矩阵的误差分析获得了突破性的进展，使不少用向前误差分析难于判定可靠性的数值方法获得新的进展。-error analysis by a number of means, for example, Granville point Morrison (J. H. Wilkison), refer
ML.rar
- 该算法是经典的信噪比估计算法——最大似然估计算法，利用接收信道的先验概率密度函数，ML法能够很好的估计信号的信噪比,The algorithm is a classic signal to noise ratio estimation algorithm- maximum likelihood estimation algorithm, using the a priori receiver channel probability density function, ML method can
WienerScalart
- Wiener filter based on tracking a priori SNR usingDecision-Directed method, proposed by Scalart et al 96.-Wiener filter based on tracking a priori SNR usingDecision-Directed method, proposed by Scalart et al 96.
MAP
- Maximum a priori L-values
apriori
- Apriori算法【l】：1994年由R．Agrawal等人提出来的Apriori算法是 关联规则挖掘的一个经典算法，后来的许多算法都是基于该算法的思想。算 法的名称来源于在算法中应用了频繁项集的先验知识，即：一个频繁项集的 任一非空子集必定是频繁项集；因此只要某一项集是非频繁的，则其超集就 无须再检验。-Apriori algorithm】 【l: 1994 by R. Agrawal et al to the Apriori algorithm is a classical
Code-Algorithm-A-Priori
- program code Apriori Algorithm (data mining) in Delphi. I found it after I read a book "Algoritma Data Mining". Apriori Algorithm is an influental algorithm for mining frequent itemsets for boolean association rules
WienerScalart96.m.tar
- Wiener filter based on tracking a priori SNR usingDecision-Directed method, proposed by Scalart et al 96. In this method it is assumed that SNRpost=SNRprior +1. based on this the Wiener Filter can be adapted to a model like Ephraims m
A-nonparametric-variable-step-size-NLMS-algorithm
- A nonparametric adaptive filtering approach is proposed in this paper. The algorithm is obtained by exploiting a time-varying step size in the traditional NLMS weight update equation. The step size is adjusted according to the square of a time-av