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icasso122
Introduction
Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)
- 2009-04-11 23:10:41下载
- 积分：1
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KDE
本文介绍了一种基于核函数的参数估计方法，对于初学者来讲很有帮助(kernel based estimation )
- 2009-12-09 17:14:35下载
- 积分：1
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channel_estimation_legendre
channel estimation for ofdm using legendre polynomials
- 2009-07-11 18:35:29下载
- 积分：1
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wewina
matlab 仿真数字信号处理，实现维纳滤波。(Matlab simulation of digital signal processing, and Wiener filter.)
- 2006-08-21 15:15:47下载
- 积分：1
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matlab-spline
说明： 利用Matlab语言实现三次样条曲线，并且有GUI图形显示，是数值分析的基础(THE code use Matlab，come ture spline )
- 2011-04-04 20:46:05下载
- 积分：1
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ImageProcessing
use for image processing in matlab
- 2010-05-24 09:11:20下载
- 积分：1
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kaerman
用matlab实现简单的卡尔曼滤波功能，(Using matlab to achieve a simple Kalman filtering)
- 2013-07-17 08:28:44下载
- 积分：1
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grav_plot
地球物理勘探中重力资料解释的主要目的是由地表观测值推断地下可能存在的密度分布。众所周知,任何一组重力数据都可能由无数个密度分布所引起。即使假设了重力异常是由具有均匀密度差的单一地质体产生的,也得不出唯一的解。画图(Gravity geophysical exploration data interpretation main purpose is inferred from surface observations may exist underground density distribution. Is known, any set of data may be provided by gravity density caused numerous. Even assuming that the gravity anomaly is determined by having a uniform density difference arising from a single geological body, they have no unique solution. Paint)
- 2013-11-21 23:46:56下载
- 积分：1
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maiya
信号为调频信号，实现对调频信号的脉冲压缩，获得距离像(FM signal, the signal on the FM signal pulse compression to get the distance like)
- 2012-11-14 20:37:00下载
- 积分：1
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manifolds
流形学习是近年来机器学习及模式识别等领域的一个研究热点，其主要目标是去发现高维观察数据空间的低维光滑流形。自从2000年Roweis和Saul提出LLE算法、Tenenbaum等人提出Isomap算法，特别是Donoho等人发现Isomap算法能够准确发现人脸图像流形潜在的参数空间、张长水等人将LLE算法用于人脸识别并取得了较好的识别效果之后，基于流形学习的人脸识别研究引起了人们的广泛关注。(Manifold learning in recent years the field of machine learning and pattern recognition as a research focus, its main goal is to find high-dimensional data space observation of low-dimensional smooth manifold. Since 2000 LLE algorithm proposed by Roweis and Saul, Tenenbaum and others proposed Isomap algorithm, especially Donoho, who found that Isomap algorithm can find the potential face images of the parameter space manifold, and Chang-water will LLE algorithm for face recognition and to obtain a good recognition results, the manifold learning-based face recognition research has aroused extensive attention.)
- 2010-08-02 18:31:52下载
- 积分：1
