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Pick a signal x(t) representing a note of the middle scale of a piano (but not the middle C we did in class) and obtain its CTFT <math>X(f)</math>. Then pick a sampling period <math>T_1</math> for which no aliasing occurs and obtain the DTFT of the sampling <math>x_1[n]=x(n T_1)</math>. More precisely, write a mathematical expression for <math>X_1(\omega)</math> and sketch its graph. Finally, pick a sampling frequency <math>T_2</math> for which aliasing occurs and obtain the DTFT of the sampling <math>x_2[n]=x(n T_2)</math> (i.e.,  write a mathematical expression for <math>X_2(f)</math> and sketch its graph.) Note the difference and similarities between <math>X(f)</math> and <math>X_1(\omega)</math>. Note the differences and similarities between <math>X_1(\omega)</math> and <math>X_2(\omega)</math>.
 
Pick a signal x(t) representing a note of the middle scale of a piano (but not the middle C we did in class) and obtain its CTFT <math>X(f)</math>. Then pick a sampling period <math>T_1</math> for which no aliasing occurs and obtain the DTFT of the sampling <math>x_1[n]=x(n T_1)</math>. More precisely, write a mathematical expression for <math>X_1(\omega)</math> and sketch its graph. Finally, pick a sampling frequency <math>T_2</math> for which aliasing occurs and obtain the DTFT of the sampling <math>x_2[n]=x(n T_2)</math> (i.e.,  write a mathematical expression for <math>X_2(f)</math> and sketch its graph.) Note the difference and similarities between <math>X(f)</math> and <math>X_1(\omega)</math>. Note the differences and similarities between <math>X_1(\omega)</math> and <math>X_2(\omega)</math>.
  
You may post your answers on [[sampling_pure_frequencies_ECE438F10|this page]] for collective discussion/comments (but this is optional).
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You may post your answers on [[Sampling pure frequencies ECE438F10‎|this page]] for collective discussion/comments (but this is optional).
 
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== Question 2==
 
== Question 2==
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You may post your answers on [[z-transforms_and_inverse_z-transforms_ECE438F10|this page]] for collective discussion/comments (but this is optional).  
 
You may post your answers on [[z-transforms_and_inverse_z-transforms_ECE438F10|this page]] for collective discussion/comments (but this is optional).  
  
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<span style="color:green"> I just realized that there is no class Monday so we will not be able to cover the inverse z-transform before Wednesday (when the homework is due). Therefore, I am changing the homework: the second part of the question (compute the inverse z-transforms) will be part of Homework 3 instead.  Sorry about the confusion. Have a great labor day weekend! --[[User:Mboutin|Mboutin]] 19:54, 3 September 2010 (UTC) </span>
 
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Instructions:  
 
Instructions:  

Latest revision as of 04:59, 7 September 2010

Homework 2, ECE438, Fall 2010, Prof. Boutin

Due Wednesday September 8, 2010. Hard copy due by 4:20pm in class, electronic copy in Prof. Boutin's dropbox (the ECE438 HW2 Assignment box) by 6pm.


Question 1

Pick a signal x(t) representing a note of the middle scale of a piano (but not the middle C we did in class) and obtain its CTFT $ X(f) $. Then pick a sampling period $ T_1 $ for which no aliasing occurs and obtain the DTFT of the sampling $ x_1[n]=x(n T_1) $. More precisely, write a mathematical expression for $ X_1(\omega) $ and sketch its graph. Finally, pick a sampling frequency $ T_2 $ for which aliasing occurs and obtain the DTFT of the sampling $ x_2[n]=x(n T_2) $ (i.e., write a mathematical expression for $ X_2(f) $ and sketch its graph.) Note the difference and similarities between $ X(f) $ and $ X_1(\omega) $. Note the differences and similarities between $ X_1(\omega) $ and $ X_2(\omega) $.

You may post your answers on this page for collective discussion/comments (but this is optional).


Question 2

Pick five different DT signals and compute their z-transform. Then take the five z-transforms you obtained and compute their inverse z-transform.

You may post your answers on this page for collective discussion/comments (but this is optional).

I just realized that there is no class Monday so we will not be able to cover the inverse z-transform before Wednesday (when the homework is due). Therefore, I am changing the homework: the second part of the question (compute the inverse z-transforms) will be part of Homework 3 instead. Sorry about the confusion. Have a great labor day weekend! --Mboutin 19:54, 3 September 2010 (UTC)


Instructions:

  1. Hand in a hard copy of your homework on September 8 in class.
  2. hand in an anonymous scan of your solution (e.g., write out your name before scanning, or replace it by a pseudo-name) and drop it in Prof. Boutin's dropbox (in the ECE438 HW2 Assignment box).

We will then do a double-blind peer of the homework.


Back to ECE438, Fall 2010, Prof. Boutin

Alumni Liaison

Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

Buyue Zhang