📄 icalab.html
字号:
<html>
<head>
<title>ICALAB for Image Processing</title>
<link href="help/icalab.css" type="text/css" rel="stylesheet">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<meta name="description" content="ICALAB for Image Processing">
<meta name="keywords" content="ICALAB, ICALAB for Image Processing, image processing, independent component analysis, ICA, dynamic independent, component analysis, DICA, blind source separation, BSS, blind source extraction, BSE, blind signal processing, BSP, blind equalization, BE, blind deconvolution, BD, principal, component analysis">
<style type="text/css">
<!--
.style1 {color: darkblue}
-->
</style>
</head>
<body>
<h1>ICALAB for Image Processing</h1>
<h2>Toolbox for ICA, BSS, BSE</h2>
<P>
<b>The ICALAB Package:</b>
<ul>
<li><b>for Image Processing</b></li>
</ul>
<p>
has been designed and developed by:
<p>
<b>Andrzej Cichocki</b>, <b>Shun-ichi Amari</b>, <b>Krzysztof Siwek</b>,
</p>
<p>
<b>Sergio Cruces</b>, <b>Toshihisa Tanaka</b>, <b>Pando Georgiev</b>, <b> Zbigniew Leonowicz</b>,
<b>Tomasz Rutkowski</b>, <b>Seungjin Choi</b>, <b>Adel Belouchrani</b>,
<b>Allan Barros</b>, <b>Ruck Thawonmas</b>, <b>Tetsuya Hoya</b>,
<b>Wakako Hashimoto</b>, <b>Yasushi Terazono</b> and <b>Tomomi Watanabe</b>
in cooperation with other members of the
<a href="http://www.bsp.brain.riken.jp">Laboratory for Advanced Brain Signal Processing</a>.
<p>
The graphic design, data visualization, user interface, extensive testing
and integration of most of the existing algorithms have been implemented
in MATLAB<sup>
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -