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=Homework 6, [[ECE438]], Fall 2013, [[user:mboutin|Prof. Boutin]]=
 
=Homework 6, [[ECE438]], Fall 2013, [[user:mboutin|Prof. Boutin]]=
 
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<span style="color:red"> Please leave all mistakes and instructor's comments as is, unless otherwise noted by Prof. Mimi. </span>
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==Question 1==
 
==Question 1==
 
The sampling rate should be twice of the highest frequency of the signal to avoid aliasing.
 
The sampling rate should be twice of the highest frequency of the signal to avoid aliasing.
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f_s=2 \cdot 2500=5000Hz
 
f_s=2 \cdot 2500=5000Hz
 
\end{align}</math>
 
\end{align}</math>
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*<span style="color:red"> INstructor's comment: Actually, strictly speaking, it should be '''greater''' than 5000HZ. -pm</span>
  
 
We'd like a high pass filter that filters our everything below 60 Hz.  
 
We'd like a high pass filter that filters our everything below 60 Hz.  

Revision as of 11:08, 30 September 2013


Homework 6, ECE438, Fall 2013, Prof. Boutin

Please leave all mistakes and instructor's comments as is, unless otherwise noted by Prof. Mimi.


Question 1

The sampling rate should be twice of the highest frequency of the signal to avoid aliasing.

$ \begin{align} f_s=2 \cdot 2500=5000Hz \end{align} $

  • INstructor's comment: Actually, strictly speaking, it should be greater than 5000HZ. -pm

We'd like a high pass filter that filters our everything below 60 Hz.

$ \begin{align} \omega_c=\frac{2\pi \cdot f_c }{f_s}=\frac{2\pi \cdot 60 }{5000} \end{align} $

Question 2

Question 3

Question 4

a) For $ k=0,1,...,N-1 $

$ \begin{align} X_N(k) &= \sum_{k=0}^{N-1}x[n]e^{-\frac{j2\pi nk}{N}} \\ &= x[0]e^{-\frac{j2\pi 0\cdot k}{N}} \\ &= 1 \end{align} $

b) Using Euler Formula, we have

$ \begin{align} x[n] &= e^{\frac{j\pi n}{3}}(\frac{ e^{\frac{j\pi n}{6}} + e^{-\frac{j\pi n}{6}} }{2}) \\ &= \frac{1}{2}e^{\frac{j\pi n}{2}} + \frac{1}{2}e^{\frac{j\pi n}{6}} \end{align} $

Observing that $ x[n] $ has fundamental period $ N=12 $. Using IDFT, we have

$ \begin{align} x[n] &= \frac{1}{N}\sum_{n=0}^{N-1}e^{\frac{j2\pi nk}{N}} \\ \frac{1}{2}e^{\frac{j\pi n}{2}} + \frac{1}{2}e^{\frac{j\pi n}{6}} &= \frac{1}{12}\sum_{n=0}^{11}e^{\frac{j2\pi nk}{12}} \end{align} $

By comparison, we know for $ k=0,1,...,11 $

$ X_{12}[k] = \left\{ \begin{array}{ll} 6, & k=1,3 \\ 0, & otherwise. \end{array} \right. $

c)

$ x[n]=(\frac{1}{\sqrt 2} + j\frac{1}{\sqrt 2})^n = (e^{\frac{j\pi}{4}})^n $

Then $ x[n] $ has fundamental period $ N=8 $. Using IDFT, we have

$ \begin{align} x[n] &= \frac{1}{N}\sum_{n=0}^{N-1}e^{\frac{j2\pi nk}{N}} \\ e^{\frac{j\pi n}{4}} &= \frac{1}{8}\sum_{n=0}^{7}e^{\frac{j2\pi nk}{8}} \end{align} $

By comparison, we know for $ k=0,1,...,7 $

$ X_{8}[k] = \left\{ \begin{array}{ll} 8, & k=1 \\ 0, & otherwise. \end{array} \right. $


Question 5

Observing that $ X(k) $ has a fundamental period $ N=4 $

$ \begin{align} x[n] &= \frac{1}{N}\sum_{k=0}^{N-1}(e^{j \pi k }+e^{-j \frac{\pi}{2} k})e^{\frac{j2\pi nk}{N}} \\ &= \frac{1}{4}\sum_{k=0}^{3}(e^{\frac{j2\pi (n+2)k}{4}} + e^{\frac{j2\pi (n-1)k}{4}}) \\ &= \frac{1}{4}\sum_{k=0}^{3}(e^{\frac{j2\pi (n+2)k}{4}-j2\pi k} + e^{\frac{j2\pi (n-1)k}{4}}) \\ &= \frac{1}{4}\sum_{k=0}^{3}(e^{\frac{j2\pi (n-2)k}{4}} + e^{\frac{j2\pi (n-1)k}{4}}) \\ \end{align} $

when $ n\neq 1 \text{ or } 2 $, using geometric series summation formula we have

$ x[n]=\frac{1}{4}( \frac{1-e^{j2\pi (n-2)}}{1-e^{\frac{j2\pi (n-2)}{4}}} + \frac{1-e^{j2\pi (n-1)}}{1-e^{\frac{j2\pi (n-1)}{4}}} ) = 0 $

when $ n=1 \text{ or } 2 $

$ x[n]=\sum_{k=0}^{3}1=4 $

$ x[n] $ will be periodic with 4.

NOTE: In general, $ X(k) $ does not need to have a length equal to the fundamental period. Suppose N is an arbitrary number, we can still derive the IDFT using argument that is similar to the one described above.


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