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	<title>Matlab Tutorials</title>
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		<title>Logical Subscripting</title>
		<link>http://www.matlabtutorials.com/functions/logical-subscripting.html</link>
		<comments>http://www.matlabtutorials.com/functions/logical-subscripting.html#comments</comments>
		<pubDate>Mon, 10 May 2010 10:55:51 +0000</pubDate>
		<dc:creator>matlabtutorials</dc:creator>
				<category><![CDATA[Functions]]></category>
		<category><![CDATA[Dürer's]]></category>
		<category><![CDATA[Dürer's magic square]]></category>
		<category><![CDATA[finite]]></category>
		<category><![CDATA[isprime]]></category>
		<category><![CDATA[logical]]></category>
		<category><![CDATA[Logical Subscripting]]></category>
		<category><![CDATA[magic]]></category>
		<category><![CDATA[Subscripting]]></category>

		<guid isPermaLink="false">http://www.matlabtutorials.com/?p=528</guid>
		<description><![CDATA[The logical vectors created from logical and relational operations can be used to reference subarrays. Suppose X is an ordinary matrix and L is a matrix of the same size that is the result of some logical operation. Then X(L) specifies the elements of X where the elements of L are nonzero. This kind of [...]]]></description>
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		<title>The find Function</title>
		<link>http://www.matlabtutorials.com/functions/the-find-function.html</link>
		<comments>http://www.matlabtutorials.com/functions/the-find-function.html#comments</comments>
		<pubDate>Sat, 08 May 2010 23:52:07 +0000</pubDate>
		<dc:creator>matlabtutorials</dc:creator>
				<category><![CDATA[Functions]]></category>
		<category><![CDATA[array]]></category>
		<category><![CDATA[find]]></category>
		<category><![CDATA[function]]></category>
		<category><![CDATA[matlab]]></category>
		<category><![CDATA[matrix]]></category>
		<category><![CDATA[transpose]]></category>
		<category><![CDATA[vector]]></category>

		<guid isPermaLink="false">http://www.matlabtutorials.com/?p=525</guid>
		<description><![CDATA[The find function determines the indices of array elements that meet a given logical condition. In its simplest form, find returns a column vector of indices. Transpose that vector to obtain a row vector of indices. For example, 1 k = find&#40;isprime&#40;A&#41;&#41;' picks out the locations, using one-dimensional indexing, of the primes in the magic [...]]]></description>
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		<title>Linear Algebra</title>
		<link>http://www.matlabtutorials.com/controls/linear-algebra.html</link>
		<comments>http://www.matlabtutorials.com/controls/linear-algebra.html#comments</comments>
		<pubDate>Sat, 08 May 2010 19:23:52 +0000</pubDate>
		<dc:creator>matlabtutorials</dc:creator>
				<category><![CDATA[Controls]]></category>
		<category><![CDATA[Dürer's]]></category>
		<category><![CDATA[Dürer's magic square]]></category>
		<category><![CDATA[Linear Algebra]]></category>
		<category><![CDATA[magic]]></category>
		<category><![CDATA[magic squares]]></category>
		<category><![CDATA[matlab]]></category>
		<category><![CDATA[matrix]]></category>

		<guid isPermaLink="false">http://www.matlabtutorials.com/?p=522</guid>
		<description><![CDATA[Informally, the terms matrix and array are often used interchangeably. More precisely, a matrix is a two-dimensional numeric array that represents a linear transformation. The mathematical operations defined on matrices are the subject of linear algebra. Dürer&#8217;s magic square 1 2 3 4 5 A = 16 3 2 13 5 10 11 8 9 [...]]]></description>
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		<title>Working with 8-Bit and 16-Bit Images</title>
		<link>http://www.matlabtutorials.com/documents/working-with-8-bit-and-16-bit-images.html</link>
		<comments>http://www.matlabtutorials.com/documents/working-with-8-bit-and-16-bit-images.html#comments</comments>
		<pubDate>Sat, 08 May 2010 14:07:04 +0000</pubDate>
		<dc:creator>matlabtutorials</dc:creator>
				<category><![CDATA[Documents]]></category>
		<category><![CDATA[16-Bit]]></category>
		<category><![CDATA[8-Bit]]></category>
		<category><![CDATA[Arithmetic Operations on Integer Classes]]></category>
		<category><![CDATA[brighten]]></category>
		<category><![CDATA[cat]]></category>
		<category><![CDATA[colormap]]></category>
		<category><![CDATA[conv2]]></category>
		<category><![CDATA[convn]]></category>
		<category><![CDATA[double]]></category>
		<category><![CDATA[fft2]]></category>
		<category><![CDATA[fftn]]></category>
		<category><![CDATA[find]]></category>
		<category><![CDATA[image]]></category>
		<category><![CDATA[imagesc]]></category>
		<category><![CDATA[imread]]></category>
		<category><![CDATA[imwrite]]></category>
		<category><![CDATA[matlab]]></category>
		<category><![CDATA[permute]]></category>
		<category><![CDATA[reshape]]></category>
		<category><![CDATA[sum]]></category>
		<category><![CDATA[tutorials]]></category>

		<guid isPermaLink="false">http://www.matlabtutorials.com/?p=507</guid>
		<description><![CDATA[8-Bit and 16-Bit Indexed Images Double-precision (64-bit) floating-point numbers are the default MATLAB representation for numeric data. However, to reduce memory requirements for working with images, you can store images as 8-bit or 16-bit unsigned integers using the numeric classes uint8 or uint16, respectively. An image whose data matrix has class uint8 is called an [...]]]></description>
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		<title>The magic Function</title>
		<link>http://www.matlabtutorials.com/functions/the-magic-function.html</link>
		<comments>http://www.matlabtutorials.com/functions/the-magic-function.html#comments</comments>
		<pubDate>Sat, 08 May 2010 03:21:25 +0000</pubDate>
		<dc:creator>matlabtutorials</dc:creator>
				<category><![CDATA[Functions]]></category>
		<category><![CDATA[Colon Operator]]></category>
		<category><![CDATA[Dürer's]]></category>
		<category><![CDATA[Expressions]]></category>
		<category><![CDATA[magic]]></category>
		<category><![CDATA[matlab]]></category>
		<category><![CDATA[order]]></category>

		<guid isPermaLink="false">http://www.matlabtutorials.com/?p=518</guid>
		<description><![CDATA[MATLAB actually has a built-in function that creates magic squares of almost any size. Not surprisingly, this function is named magic. 1 2 3 4 5 6 B = magic&#40;4&#41; B = 16 2 3 13 5 11 10 8 9 7 6 12 4 14 15 1 This matrix is almost the same as [...]]]></description>
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		<title>Matlab Image Types</title>
		<link>http://www.matlabtutorials.com/documents/matlab-image-types.html</link>
		<comments>http://www.matlabtutorials.com/documents/matlab-image-types.html#comments</comments>
		<pubDate>Fri, 07 May 2010 09:02:54 +0000</pubDate>
		<dc:creator>matlabtutorials</dc:creator>
				<category><![CDATA[Documents]]></category>
		<category><![CDATA[CDataMapping]]></category>
		<category><![CDATA[Graphics]]></category>
		<category><![CDATA[image]]></category>
		<category><![CDATA[imagesc]]></category>
		<category><![CDATA[matlab]]></category>
		<category><![CDATA[Support]]></category>
		<category><![CDATA[Technical Note 1201: The Technical Support Guide to Graphics Rendering and Troubleshooting]]></category>

		<guid isPermaLink="false">http://www.matlabtutorials.com/?p=501</guid>
		<description><![CDATA[Indexed Images An indexed image consists of a data matrix, X, and a colormap matrix, map. map is an m-by-3 array of class double containing floating-point values in the range [0, 1]. Each row of map specifies the red, green, and blue components of a single color. An indexed image uses &#8220;direct mapping&#8221; of pixel [...]]]></description>
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		<item>
		<title>The Colon Operator</title>
		<link>http://www.matlabtutorials.com/controls/the-colon-operator.html</link>
		<comments>http://www.matlabtutorials.com/controls/the-colon-operator.html#comments</comments>
		<pubDate>Fri, 07 May 2010 01:18:33 +0000</pubDate>
		<dc:creator>matlabtutorials</dc:creator>
				<category><![CDATA[Controls]]></category>
		<category><![CDATA[Colon Operator]]></category>
		<category><![CDATA[matlab]]></category>
		<category><![CDATA[operator]]></category>
		<category><![CDATA[Subscripts]]></category>
		<category><![CDATA[The magic Function]]></category>

		<guid isPermaLink="false">http://www.matlabtutorials.com/?p=515</guid>
		<description><![CDATA[The colon, :, is one of MATLAB&#8217;s most important operators. It occurs in several different forms. The expression 1 1:10 is a row vector containing the integers from 1 to 10 1 1 2 3 4 5 6 7 8 9 10 To obtain nonunit spacing, specify an increment. For example, 1 100:-7:50 is 1 [...]]]></description>
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		<item>
		<title>Subscripts</title>
		<link>http://www.matlabtutorials.com/functions/subscripts.html</link>
		<comments>http://www.matlabtutorials.com/functions/subscripts.html#comments</comments>
		<pubDate>Fri, 07 May 2010 01:15:49 +0000</pubDate>
		<dc:creator>matlabtutorials</dc:creator>
				<category><![CDATA[Functions]]></category>
		<category><![CDATA[diag]]></category>
		<category><![CDATA[Subscripts]]></category>
		<category><![CDATA[sum]]></category>
		<category><![CDATA[The Colon Operator]]></category>
		<category><![CDATA[transpose]]></category>

		<guid isPermaLink="false">http://www.matlabtutorials.com/?p=512</guid>
		<description><![CDATA[The element in row i and column j of A is denoted by A(i,j). For example, A(4,2) is the number in the fourth row and second column. For our magic square, A(4,2) is 15. So it is possible to compute the sum of the elements in the fourth column of A by typing 1 A&#40;1,4&#41; [...]]]></description>
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		<item>
		<title>Working with Images in MATLAB Graphics</title>
		<link>http://www.matlabtutorials.com/documents/working-with-images-in-matlab-graphics.html</link>
		<comments>http://www.matlabtutorials.com/documents/working-with-images-in-matlab-graphics.html#comments</comments>
		<pubDate>Thu, 06 May 2010 23:02:30 +0000</pubDate>
		<dc:creator>matlabtutorials</dc:creator>
				<category><![CDATA[Documents]]></category>
		<category><![CDATA[axis]]></category>
		<category><![CDATA[Graphics]]></category>
		<category><![CDATA[image]]></category>
		<category><![CDATA[Images]]></category>
		<category><![CDATA[imagesc]]></category>
		<category><![CDATA[imfinfo]]></category>
		<category><![CDATA[imread]]></category>
		<category><![CDATA[imwrite]]></category>
		<category><![CDATA[ind2rgb]]></category>
		<category><![CDATA[matlab]]></category>
		<category><![CDATA[Working with 8-Bit and 16-Bit Images]]></category>

		<guid isPermaLink="false">http://www.matlabtutorials.com/?p=499</guid>
		<description><![CDATA[What Is Image Data? The basic MATLAB data structure is the array, an ordered set of real or complex elements. An array is naturally suited to the representation of images, real-valued, ordered sets of color or intensity data. (An array is suited for complex-valued images.) In the MATLAB workspace, most images are represented as two-dimensional [...]]]></description>
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		<item>
		<title>Stream Line Plots of Vector Data</title>
		<link>http://www.matlabtutorials.com/examples/stream-line-plots-of-vector-data.html</link>
		<comments>http://www.matlabtutorials.com/examples/stream-line-plots-of-vector-data.html#comments</comments>
		<pubDate>Sun, 02 May 2010 19:41:48 +0000</pubDate>
		<dc:creator>matlabtutorials</dc:creator>
				<category><![CDATA[Examples]]></category>
		<category><![CDATA[axis]]></category>
		<category><![CDATA[Color]]></category>
		<category><![CDATA[coneplot]]></category>
		<category><![CDATA[contourslice]]></category>
		<category><![CDATA[daspect]]></category>
		<category><![CDATA[EdgeColor]]></category>
		<category><![CDATA[FaceColor]]></category>
		<category><![CDATA[LineWidth]]></category>
		<category><![CDATA[load]]></category>
		<category><![CDATA[matlab]]></category>
		<category><![CDATA[max]]></category>
		<category><![CDATA[meshgrid]]></category>
		<category><![CDATA[min]]></category>
		<category><![CDATA[plot]]></category>
		<category><![CDATA[slice]]></category>
		<category><![CDATA[sqrt]]></category>
		<category><![CDATA[streamline]]></category>
		<category><![CDATA[view]]></category>

		<guid isPermaLink="false">http://www.matlabtutorials.com/?p=492</guid>
		<description><![CDATA[Wind Mapping Data The MATLAB vector data set called wind represents air currents over North America. This example uses a combination of techniques: Stream lines to trace the wind velocity Slice planes to show cross-sectional views of the data Contours on the slice planes to improve the visibility of slice-plane coloring 1. Determine the Range [...]]]></description>
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