ASN10 - Quadrature sampling demonstration: Difference between revisions

Latest revision as of 18:20, 18 December 2009

Assignment was actually done in class by professor. Classmate Max Woesner has posted the Octave code and plot.

In Octave we were to plot $\frac{2}{T} \sum_{n = 1}^{\infty} s i n (\frac{2 π n t}{T})$

clear all;
close all;
sum = 0;
T = 1;
t = -T:0.0001:T;
N = 1000;
for n = 1:N;
     if n==0
          h = 0;
     else
          h = 2/T;
     end
     sum = sum+h*sin(2*pi*n*t/T);
end
plot(t,sum)
title('Quadrature Sampling Waveform')
xlabel('time(T)')
ylabel('Sampling Waveform')

@@ Line 1: / Line 1: @@
 [[Jodi Hodge|Back to my home page]]
-Assignment was actually done in class by professor.
+Assignment was actually done in class by professor. Classmate [[Max Woesner ]] has posted the Octave code and plot.
-[http://www.example.com link title]
+In Octave we were to plot
-<br><b>Problem Statement</b><br><br>
+<math> \frac{2}{T} \sum_{n=1}^\infty sin\bigg (\frac{2 \pi nt}{T}\bigg) \!</math><br><br>
-Plot <math> \ \frac{2}{T} \sum_{n=1}^\infty sin\bigg(\frac{2 \pi nt}{T}\bigg) \!</math><br><br>
-<b>Solution</b><br>
-While we can't sum to infinity in the computer, we can get a close approximation summing over a large enough range of <math> n  \!</math><br>
-I found summing over <math> n = 1:1000 \!</math> was about the most the computer could handle reasonably.<br>
-The following script was written in MATLAB to produce the desired plot. <br>
 <pre>
 clear all;
@@ Line 33: / Line 28: @@
 ylabel('Sampling Waveform')
 </pre><br>
-Running the MATLAB script above gives us the following plot.<br>
 [[Image:Quadrature sampling.jpg]]<br>

ASN10 - Quadrature sampling demonstration: Difference between revisions

Latest revision as of 18:20, 18 December 2009

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