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	<title>Comments for YALL1: Your ALgorithms for L1</title>
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	<link>http://yall1.blogs.rice.edu</link>
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	<lastBuildDate>Sun, 30 May 2010 04:34:41 +0000</lastBuildDate>
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		<title>Comment on RandCirc Discussions by wy1</title>
		<link>http://yall1.blogs.rice.edu/?p=51#comment-4</link>
		<dc:creator>wy1</dc:creator>
		<pubDate>Sun, 30 May 2010 04:34:41 +0000</pubDate>
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		<description>If the circulant matrix is generated of Type 2 above and all the entries of diag(D) have amplitude 1, then the circulant ensember A = P*C satisfies A*A&#039; = I. So, the rows of A are orthogonal each other, and one should set

   opts.nonorth = 0

to take the full advantage of YALL1.</description>
		<content:encoded><![CDATA[<p>If the circulant matrix is generated of Type 2 above and all the entries of diag(D) have amplitude 1, then the circulant ensember A = P*C satisfies A*A&#8217; = I. So, the rows of A are orthogonal each other, and one should set</p>
<p>   opts.nonorth = 0</p>
<p>to take the full advantage of YALL1.</p>
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		<title>Comment on YALL1 discussions by wy1</title>
		<link>http://yall1.blogs.rice.edu/?p=49#comment-3</link>
		<dc:creator>wy1</dc:creator>
		<pubDate>Fri, 28 May 2010 02:38:17 +0000</pubDate>
		<guid isPermaLink="false">http://yall1.blogs.rice.edu/?p=49#comment-3</guid>
		<description>This area is designated to discussions on the YALL1 solver. We will regularly visit this place and join the discussions.</description>
		<content:encoded><![CDATA[<p>This area is designated to discussions on the YALL1 solver. We will regularly visit this place and join the discussions.</p>
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		<title>Comment on RandCirc Discussions by wy1</title>
		<link>http://yall1.blogs.rice.edu/?p=51#comment-2</link>
		<dc:creator>wy1</dc:creator>
		<pubDate>Thu, 27 May 2010 23:30:31 +0000</pubDate>
		<guid isPermaLink="false">http://yall1.blogs.rice.edu/?p=51#comment-2</guid>
		<description>A partial random circulant matrix can be formed as [Downsample]*[Circulant Matrix], where in code both the downsample and circulant matrices are formed implicitly. Below are some types of circulant matrices and downsampling schemes.

[Circulant Matrix] Types:

1. Random 1st row: Gaussian, Bernoulli, ...

2. F*DF where F is a Fourier matrix and D is a diagonal matrix.
2A: diag(D) is random
2B: diag(D) has a uniform amplitude and random phases

diag(D) can be conjugate symmetric (yielding real F*DF) or not (yielding complex F*DF).

[Downsample] Types:

1. First m rows
2. Equally-spaced m rows
3. Randomly picked m rows

They can give different performances. See Rice CAAM TR10-01 for a comparison.</description>
		<content:encoded><![CDATA[<p>A partial random circulant matrix can be formed as [Downsample]*[Circulant Matrix], where in code both the downsample and circulant matrices are formed implicitly. Below are some types of circulant matrices and downsampling schemes.</p>
<p>[Circulant Matrix] Types:</p>
<p>1. Random 1st row: Gaussian, Bernoulli, &#8230;</p>
<p>2. F*DF where F is a Fourier matrix and D is a diagonal matrix.<br />
2A: diag(D) is random<br />
2B: diag(D) has a uniform amplitude and random phases</p>
<p>diag(D) can be conjugate symmetric (yielding real F*DF) or not (yielding complex F*DF).</p>
<p>[Downsample] Types:</p>
<p>1. First m rows<br />
2. Equally-spaced m rows<br />
3. Randomly picked m rows</p>
<p>They can give different performances. See Rice CAAM TR10-01 for a comparison.</p>
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