(New page: = Lecture 17 Blog, ECE301 Spring 2011, Prof. Boutin = Friday February 18, 2011 (Week 6) - See [[Lecture Schedule ECE301Spring11 Boutin|Cou...)
 
 
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= Lecture 17 Blog, [[2011 Spring ECE 301 Boutin|ECE301  Spring 2011]], [[User:Mboutin|Prof. Boutin]]  =
 
= Lecture 17 Blog, [[2011 Spring ECE 301 Boutin|ECE301  Spring 2011]], [[User:Mboutin|Prof. Boutin]]  =
 
Friday February 18, 2011 (Week 6) - See [[Lecture Schedule ECE301Spring11 Boutin|Course Schedule]].  
 
Friday February 18, 2011 (Week 6) - See [[Lecture Schedule ECE301Spring11 Boutin|Course Schedule]].  
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*Read Sections 4.1 and 4.2 in the book.
 
*Read Sections 4.1 and 4.2 in the book.
 
*Solve the following practice problem on CT Fourier transform.
 
*Solve the following practice problem on CT Fourier transform.
**[[Fourier_transform_etu_CT_ECE301S11|Compute the Fourier transform of e^t u(t).]]
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**[[Fourier_transform_etu_CT_ECE301S11|Compute the Fourier transform of e^-t u(t).]]
  
Previous: [[Lecture15ECE301S11|Lecture 15]]  
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Previous: [[Lecture16ECE301S11|Lecture 16]]  
  
Next: [[Lecture17ECE301S11|Lecture 17]]  
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Next: [[Lecture18ECE301S11|Lecture 18]]  
 
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[[2011 Spring ECE 301 Boutin|Back to ECE301  Spring 2011 Prof. Boutin]]
 
[[2011 Spring ECE 301 Boutin|Back to ECE301  Spring 2011 Prof. Boutin]]

Latest revision as of 14:12, 28 February 2011


Lecture 17 Blog, ECE301 Spring 2011, Prof. Boutin

Friday February 18, 2011 (Week 6) - See Course Schedule.


Today we defined and motivated the Fourier transform for continuous-time signals. We noted that the frequency response of a system is the same function as the Fourier transform of the unit impulse response of that system. We did some examples of computations of Fourier transforms and inverse Fourier transforms. It was noted that sometimes these are impossible to compute; this was exemplified when we tried to compute the inverse Fourier transform of the constant function 1.

Action items before the next lecture:

Previous: Lecture 16

Next: Lecture 18


Back to ECE301 Spring 2011 Prof. Boutin

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Basic linear algebra uncovers and clarifies very important geometry and algebra.

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