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[[:Category:ECE662_OldKiwi|ECE662]]
 
[[:Category:ECE662_OldKiwi|ECE662]]
 +
[[:Category:Sampling Theorem_OldKiwi|Sampling Theorem]]
  
 
<source lang="matlab">
 
<source lang="matlab">

Latest revision as of 10:02, 27 March 2008

Test Page

This is the test page, like a sandbox, where you can try whatever you want.

ECE662 Sampling Theorem

function S = DFTsum(x)
N = length(x);
S = zeros(1, N);
n = 1:N;
 
for k = 1:N
S(k) = sum(x(n) .* exp(-j*2*pi*(k-1)*(n-1)/N));
end
end

Labeled Section Transclusion

{{#lsth:Scilab_-_resources_related_to_Scilab|Brief Introduction to Scilab}}

Convolution

Zoom In {{#lsth:TestZoom|Generic Definition}}

FLV PLayer

<flvplayer height="480" width="640" autoplay="false">TeachingTool.flv</flvplayer>

Media Include

Media:TeachingTool_OldKiwi.flv

Alumni Liaison

Sees the importance of signal filtering in medical imaging

Dhruv Lamba, BSEE2010