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	<title>Stone Studio&#187; toolbox Archives</title>
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		<title>sigTOOL: A MATLAB Toolbox for Biological Signals Analysis</title>
		<link>http://wei-jiang.com/programming/matlab/sigtool-a-matlab-toolbox-for-biological-signals-analysis</link>
		<comments>http://wei-jiang.com/programming/matlab/sigtool-a-matlab-toolbox-for-biological-signals-analysis#comments</comments>
		<pubDate>Sun, 21 Feb 2010 01:00:13 +0000</pubDate>
		<dc:creator>Wei Jiang</dc:creator>
				<category><![CDATA[Matlab]]></category>
		<category><![CDATA[toolbox]]></category>

		<guid isPermaLink="false">http://wei-jiang.com/programming/matlab/sigtool-a-matlab-toolbox-for-biological-signals-analysis</guid>
		<description><![CDATA[This paper describes a software package for processing biological signals that has been designed to overcome this by assisting and promoting the sharing of laboratory-developed software. The package, called sigTOOL, has two components: [1] a software development environment designed to facilitate further programming by the end-user and [2] an application implemented through that environment to [...]]]></description>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>TopoToolbox: a set of Matlab functions for topographic analysis</title>
		<link>http://wei-jiang.com/programming/matlab/topotoolbox-a-set-of-matlab-functions-for-topographic-analysis</link>
		<comments>http://wei-jiang.com/programming/matlab/topotoolbox-a-set-of-matlab-functions-for-topographic-analysis#comments</comments>
		<pubDate>Sun, 21 Feb 2010 00:44:05 +0000</pubDate>
		<dc:creator>Wei Jiang</dc:creator>
				<category><![CDATA[Matlab]]></category>
		<category><![CDATA[toolbox]]></category>

		<guid isPermaLink="false">http://wei-jiang.com/programming/matlab/topotoolbox-a-set-of-matlab-functions-for-topographic-analysis</guid>
		<description><![CDATA[The integration of spatial and non-spatial analysis software aims at providing a combination of the most efficient and powerful tools available in both environments (Brenning, 2008). There are various examples where this has been accomplished using access links between different software packages. JGrass, for example, provides integration of the statistic R package into the scripting [...]]]></description>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>FieldTrip &#8211; the MATLAB toolbox for EEG/MEG analysis</title>
		<link>http://wei-jiang.com/programming/matlab/fieldtrip-the-matlab-toolbox-for-eegmeg-analysis</link>
		<comments>http://wei-jiang.com/programming/matlab/fieldtrip-the-matlab-toolbox-for-eegmeg-analysis#comments</comments>
		<pubDate>Sun, 21 Feb 2010 00:28:38 +0000</pubDate>
		<dc:creator>Wei Jiang</dc:creator>
				<category><![CDATA[Matlab]]></category>
		<category><![CDATA[toolbox]]></category>

		<guid isPermaLink="false">http://wei-jiang.com/programming/matlab/fieldtrip-the-matlab-toolbox-for-eegmeg-analysis</guid>
		<description><![CDATA[FieldTrip is a Matlab software toolbox for MEG and EEG analysis that is being developed at the Donders Institute for Brain, Cognition and Behaviour at the Radboud University Nijmegen, the Netherlands.
The FieldTrip toolbox includes algorithms for simple and advanced analysis of MEG and EEG data, such as time-frequency analysis, source reconstruction using dipoles, distributed sources [...]]]></description>
		<wfw:commentRss>http://wei-jiang.com/programming/matlab/fieldtrip-the-matlab-toolbox-for-eegmeg-analysis/feed</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>EigTool: Matlab Package for Computing Pseudospectra of Dense and Sparse Matrices</title>
		<link>http://wei-jiang.com/programming/matlab/eigtool-matlab-package-for-computing-pseudospectra-of-dense-and-sparse-matrices</link>
		<comments>http://wei-jiang.com/programming/matlab/eigtool-matlab-package-for-computing-pseudospectra-of-dense-and-sparse-matrices#comments</comments>
		<pubDate>Sat, 20 Feb 2010 23:55:18 +0000</pubDate>
		<dc:creator>Wei Jiang</dc:creator>
				<category><![CDATA[Matlab]]></category>
		<category><![CDATA[toolbox]]></category>

		<guid isPermaLink="false">http://wei-jiang.com/programming/matlab/eigtool-matlab-package-for-computing-pseudospectra-of-dense-and-sparse-matrices</guid>
		<description><![CDATA[EigTool is a free MATLAB package for computing pseudospectra of dense and sparse matrices. It also provides a graphical interface to MATLAB&#8217;s built-in eigs routine (ARPACK) for large-scale eigenvalue computations. EigTool was developed from 1999 &#8211; 2002 by Thomas G. Wright at the Oxford University Computing Laboratory, under the direction of Nick Trefethen. The software [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>ChebFun: Matlab Toolbox Numerical computation</title>
		<link>http://wei-jiang.com/programming/matlab/chebfun-matlab-toolbox-numerical-computation</link>
		<comments>http://wei-jiang.com/programming/matlab/chebfun-matlab-toolbox-numerical-computation#comments</comments>
		<pubDate>Sat, 20 Feb 2010 23:53:04 +0000</pubDate>
		<dc:creator>Wei Jiang</dc:creator>
				<category><![CDATA[Matlab]]></category>
		<category><![CDATA[toolbox]]></category>

		<guid isPermaLink="false">http://wei-jiang.com/programming/matlab/chebfun-matlab-toolbox-numerical-computation</guid>
		<description><![CDATA[The aim of the chebfun system is to &#8220;feel symbolic but run at the speed of numerics&#8221;. More precisely our vision is to achieve for functions what floating-point arithmetic achieves for numbers: rapid computation in which each successive operation is carried out exactly apart from a rounding error that is very small in relative terms [...]]]></description>
		<wfw:commentRss>http://wei-jiang.com/programming/matlab/chebfun-matlab-toolbox-numerical-computation/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>cloudPlot &#8211; Matlab function to plot the distribution of 2-dimensional data.</title>
		<link>http://wei-jiang.com/programming/matlab/cloudplot-matlab-function-to-plot-the-distribution-of-2-dimensional-data</link>
		<comments>http://wei-jiang.com/programming/matlab/cloudplot-matlab-function-to-plot-the-distribution-of-2-dimensional-data#comments</comments>
		<pubDate>Thu, 28 Jan 2010 01:54:01 +0000</pubDate>
		<dc:creator>Wei Jiang</dc:creator>
				<category><![CDATA[Matlab]]></category>
		<category><![CDATA[toolbox]]></category>

		<guid isPermaLink="false">http://wei-jiang.com/programming/matlab/cloudplot-matlab-function-to-plot-the-distribution-of-2-dimensional-data</guid>
		<description><![CDATA[cloudPlot will help visualize the distribution of a 2-dimensional dataset. It is especially helpful when looking at extremely large datasets where a redular plot(x,y,&#8217;.') will just fill the plot with a solid color because the measurement points overlap each other. cloudPlot uses the built-in matlab routines to set the axis limits and grid points appropriate [...]]]></description>
		<wfw:commentRss>http://wei-jiang.com/programming/matlab/cloudplot-matlab-function-to-plot-the-distribution-of-2-dimensional-data/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Matlab RANdom SAmple Consensus (RANSAC) Toolbox</title>
		<link>http://wei-jiang.com/programming/matlab/matlab-random-sample-consensus-ransac-toolbox</link>
		<comments>http://wei-jiang.com/programming/matlab/matlab-random-sample-consensus-ransac-toolbox#comments</comments>
		<pubDate>Wed, 27 Jan 2010 20:46:27 +0000</pubDate>
		<dc:creator>Wei Jiang</dc:creator>
				<category><![CDATA[Matlab]]></category>
		<category><![CDATA[toolbox]]></category>

		<guid isPermaLink="false">http://wei-jiang.com/programming/matlab/matlab-random-sample-consensus-ransac-toolbox</guid>
		<description><![CDATA[RANSAC is an abbreviation for &#34;RANdom SAmple Consensus&#34;. It is an iterative method to estimate parameters of a mathematical model from a set of observed data which contains outliers. It is a non-deterministic algorithm in the sense that it produces a reasonable result only with a certain probability, with this probability increasing as more iterations [...]]]></description>
		<wfw:commentRss>http://wei-jiang.com/programming/matlab/matlab-random-sample-consensus-ransac-toolbox/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Automated Robust MicroArray Data Analysis in MATLAB (Toolbox)</title>
		<link>http://wei-jiang.com/programming/matlab/automated-robust-microarray-data-analysis-in-matlab-toolbox</link>
		<comments>http://wei-jiang.com/programming/matlab/automated-robust-microarray-data-analysis-in-matlab-toolbox#comments</comments>
		<pubDate>Wed, 27 Jan 2010 18:05:35 +0000</pubDate>
		<dc:creator>Wei Jiang</dc:creator>
				<category><![CDATA[Matlab]]></category>
		<category><![CDATA[dataset]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[toolbox]]></category>

		<guid isPermaLink="false">http://wei-jiang.com/programming/matlab/automated-robust-microarray-data-analysis-in-matlab-toolbox</guid>
		<description><![CDATA[Microarray technology allows gene expression profiling at a global level by measuring mRNA abundance. ARMADA (Automated Robust MicroArray Data Analysis) is a MATLAB implemented program with a graphical user interface (GUI) which performs all steps of typical microarray data analysis; starting from importing raw data from several image analysis software outputs as well as text [...]]]></description>
		<wfw:commentRss>http://wei-jiang.com/programming/matlab/automated-robust-microarray-data-analysis-in-matlab-toolbox/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
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