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Message area:  
 
Message area:  
  
* Additional office/help hours on July 29 (Wed) & July 31 (Fri) 1:30-3:30 pm @ MSEE 292
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* Check your grades for Exams, Hwks, Quizzes, and Presentation.
* You can check your grades so far (Hwk/ Quiz/ Midterm)
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* Can pick your final exam at MSEE 330 from 8 am on Tuesday.
* Homework due every Tuesday.
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* Graded Hwk 7 & Quiz 7 are available to be picked up at MSEE 330.
:
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::
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</div>  
 
</div>  
 
----
 
----
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*[[Media:ECE301CourseDescription.pdf|Course Description]]  
 
*[[Media:ECE301CourseDescription.pdf|Course Description]]  
 
*Important Dates:  
 
*Important Dates:  
**Midterm: July 10th, 2015 (Fri)
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**Midterm: July 10th, 2015 (Fri) in class
**Final: August 7th, 2015 (Fri) 8-10 am
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**Final: August 7th, 2015 (Fri) 8-10 am @ EE 270
 
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:: Covers Chapter 1,2,3,4,5,7. One letter size both-sided crib sheet is allowed. Closed-book and no calculator. Fourier Transform Tables (both CTFT and DTFT) will be given.
  
 
== Lecture Blog  ==
 
== Lecture Blog  ==
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Chap 5. Discrete-Time Fourier Transform
 
Chap 5. Discrete-Time Fourier Transform
  
: [[0724Fri]] [[Media:0727Mon.pdf|0727Mon]] [[Media:0728Tue.pdf|0728Tue]] [[Media:0729Wed.pdf|0729Wed]] [[Media:0730Thu.pdf|0730Thu]]
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: [[0724Fri]] [[0727Mon]] [[0728Tue]] [[0729Wed]] [[0730Thu]] [[0731Fri]] <br />
: [[Media:DTFT_Properties.pdf|Discrete-Time Fourier Transform Properties]] / [[Media:DTFT_Pairs.pdf|Pairs]]
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: [[0803Mon]] [[0804Tue]] <br />
 +
: [[Media:DTFT_Properties.pdf|Discrete-Time Fourier Transform Properties]] / [[Media:DTFT_Pairs.pdf|Pairs]] <br />
 +
: [[Media:BigPicture_Transforms_and_SamplingTheory.pdf|Big Picture of Transforms and Sampling Theory]] <br />
 +
----
 +
 
 +
== Quizzes  ==
 +
:[[Media:301Quiz1.pdf|Quiz 1. Linear and Time Invariant]] <br />
 +
:[[Media:301Quiz2.pdf|Quiz 2. Convolution of Two Rectangles]] <br />
 +
:[[Media:301Quiz3.pdf|Quiz 3. Continuous-Time Fourier Transform Exercise]] <br />
 +
:[[Media:301Quiz4.pdf|Quiz 4. Continuous-Time Fourier Transform Equation]] <br />
 +
:[[Media:301Quiz5.pdf|Quiz 5. Nyquist Sampling Theorem]] <br />
 +
:[[Media:301Quiz6.pdf|Quiz 6. Discrete-Time Fourier Transform Exercise]] <br />
 +
:[[Media:301Quiz7.pdf|Quiz 7. Sampling Theory]] <br />
 +
----
 +
 
 +
== Some practice problems ==
 +
Textbook Problems <br />
 +
: - Chap 1: 3, 18, 20, 21, 22, 23, 25, 26, 28, 32(3,4), 34, 42, 48, 49(c,g,k,l) <br />
 +
: - Chap 2: 5, 11, 21, 22(a,b), 23, 24, 26, 28, 29, 40, 48(a,b,d,f), 55, 57 <br />
 +
: - Chap 3: 22, 23, 24, 25, 28(c,d), 29, 36, 40, 48(a~e), 50, 60(a,b,g) <br />
 +
: - Chap 4: 1, 2, 4, 10, 12, 21, 22(a~d), 23, 24(a), 25, 26, 27, 28, 32, 34, 38, 39, 42 <br />
 +
: - Chap 5: 1, 2, 3, 6, 12, 21, 22, 27, 29, 35, 50 <br />
 +
: - Chap 7: 3, 4, 6, 7, 8, 9, 21, 22, 27, 29, 31 <br />
 +
 
 +
[[Media:exercise_freq_resp.pdf|Exercise Problems on Frequency Response(H(w))]]
 
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----
  
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: [[Media:Ece-301-homework4.pdf|HW4]] [[Media:ECE301_HW04_Solutions.pdf|Solutions]]<br />
 
: [[Media:Ece-301-homework4.pdf|HW4]] [[Media:ECE301_HW04_Solutions.pdf|Solutions]]<br />
 
: [[Media:Ece-301-homework5.pdf|HW5]] [[Media:ECE301_HW05_Solutions.pdf|Solutions]]<br />
 
: [[Media:Ece-301-homework5.pdf|HW5]] [[Media:ECE301_HW05_Solutions.pdf|Solutions]]<br />
: [[Media:Ece-301-homework06.pdf|HW6]] [[Media:Ece-301-homework06_sol.pdf |Solutions]]<br />
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: [[Media:Ece-301-homework6.pdf|HW6]] [[Media:Hw6sol_corrected.pdf |Solutions]] [[Media:Hw6sol_corrected.pdf |Corrected Solutions]]<br />
: [[Media:Ece-301-homework07.pdf|HW7]]
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: [[Media:Ece-301-homework07.pdf|HW7]] [[Media:ECE301_HW07_Solutions.pdf |Solutions]]<br />
 
----
 
----
  
 
== Exams  ==
 
== Exams  ==
 
: [[Media:ECE301Midterm_Summer2015.pdf|Midterm Exam]] / [[Media:ECE301Midterm_Summer2015_sol.pdf|Solution]] / [[Media:histogram_midterm.png|Histogram]]
 
: [[Media:ECE301Midterm_Summer2015.pdf|Midterm Exam]] / [[Media:ECE301Midterm_Summer2015_sol.pdf|Solution]] / [[Media:histogram_midterm.png|Histogram]]
 +
: [[Media:ECE301Final_Summer2015.pdf|Final Exam]] / [[Media:ECE301Final_Summer2015_sol.pdf|Solution]] / [[Media:histogram_final.png|Histogram]]
 
----
 
----
  
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== Grades-So-Far  ==
 
== Grades-So-Far  ==
* Check your grades for Hwk, Quiz, and Midterm [[Media:grades_updated22Jul.pdf|here]].
+
* Check your grades for Hwk, Quiz, and Midterm [[Media:grades_updated10Aug.pdf|here]].
 
----
 
----
  
 
== Resources  ==
 
== Resources  ==
 
* Convolution in Animation
 
* Convolution in Animation
https://youtu.be/HW4IamyQnzw <br />
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::<youtube>HW4IamyQnzw</youtube>
<youtube>HW4IamyQnzw</youtube>
+
  
https://youtu.be/C1N55M1VD2o?t=8s <br />
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::<youtube>C1N55M1VD2o?t=8s</youtube>
<youtube>C1N55M1VD2o?t=8s</youtube>
+
  
  
 
* Signal Modulation
 
* Signal Modulation
http://youtu.be/BYeCPmlwUQ0 <br />
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::<youtube>BYeCPmlwUQ0</youtube>
<youtube>BYeCPmlwUQ0</youtube>
+
 
 +
::<youtube>FaRXwP32kkU</youtube>
  
http://youtu.be/FaRXwP32kkU <br />
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* Fourier Transform (Talk by Prof. Joe Havlicek explaining the meaning of the Fourier transform very clearly using music.)
<youtube>FaRXwP32kkU</youtube>
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::<youtube>Z65Xz_TR9S8</youtube>
 
----
 
----
  

Latest revision as of 20:35, 10 August 2015


ECE 301: Signals and systems

Ikbeom Jang, Summer 2015


Message area:

  • Check your grades for Exams, Hwks, Quizzes, and Presentation.
  • Can pick your final exam at MSEE 330 from 8 am on Tuesday.
  • Graded Hwk 7 & Quiz 7 are available to be picked up at MSEE 330.

Course Information

  • Instructor: Ikbeom Jang
    • Office: EE 30
    • Office hour: TR 1-3 pm
    • Email: ikbeom.jang.1@purdue.edu
  • Teaching Assistant: Ashley Eidsmore
    • Office hour: MF 1-3 pm at EE 209
    • Email: aeidsmor@purdue.edu
Covers Chapter 1,2,3,4,5,7. One letter size both-sided crib sheet is allowed. Closed-book and no calculator. Fourier Transform Tables (both CTFT and DTFT) will be given.

Lecture Blog

  • Copies of lecture notes will be uploaded every day but they will be gone after the weekend. The purpose is to make you study by reviewing lecture notes every day or at least every week.

Chap 0. Review of Some Basic Concepts

Complex Number Review / Energy and Power of Signals

Chap 1. Signals and Systems

0615Mon 0616Tue 0617Wed 0618Thu 0619Fri

Chap 2. Linear Time Invariant Systems

0622Mon 0623Tue 0624Wed 0625Thu 0626Fri
Summary of Some Convolution Results and Properties
0629Mon 0630Tue 0701Wed 0702Thu 0707Tue

Chap 3. Fourier Series for Periodic Signals

0702Thu 0706Mon

Chap 4. Continuous-Time Fourier Transform

0707Tue 0708Wed 0709Thu
0713Mon 0714Tue 0715Wed 0716Thu 0717Fri
Continuous-Time Fourier Transform Table / US Frequency Allocation
Continuous-Time Fourier Transform Table in Hertz
0720Mon 0723Thu

Chap 7. Sampling Theory

0721Tue 0722Wed 0723Thu

Chap 5. Discrete-Time Fourier Transform

0724Fri 0727Mon 0728Tue 0729Wed 0730Thu 0731Fri
0803Mon 0804Tue
Discrete-Time Fourier Transform Properties / Pairs
Big Picture of Transforms and Sampling Theory

Quizzes

Quiz 1. Linear and Time Invariant
Quiz 2. Convolution of Two Rectangles
Quiz 3. Continuous-Time Fourier Transform Exercise
Quiz 4. Continuous-Time Fourier Transform Equation
Quiz 5. Nyquist Sampling Theorem
Quiz 6. Discrete-Time Fourier Transform Exercise
Quiz 7. Sampling Theory

Some practice problems

Textbook Problems

- Chap 1: 3, 18, 20, 21, 22, 23, 25, 26, 28, 32(3,4), 34, 42, 48, 49(c,g,k,l)
- Chap 2: 5, 11, 21, 22(a,b), 23, 24, 26, 28, 29, 40, 48(a,b,d,f), 55, 57
- Chap 3: 22, 23, 24, 25, 28(c,d), 29, 36, 40, 48(a~e), 50, 60(a,b,g)
- Chap 4: 1, 2, 4, 10, 12, 21, 22(a~d), 23, 24(a), 25, 26, 27, 28, 32, 34, 38, 39, 42
- Chap 5: 1, 2, 3, 6, 12, 21, 22, 27, 29, 35, 50
- Chap 7: 3, 4, 6, 7, 8, 9, 21, 22, 27, 29, 31

Exercise Problems on Frequency Response(H(w))


Homeworks

  • Homework assignments are due every Tuesday in class. Late submission is not accepted.
HW1 Solutions 7b Explained
HW2 Solutions
HW3 Waveforms Solutions
HW4 Solutions
HW5 Solutions
HW6 Solutions Corrected Solutions
HW7 Solutions

Exams

Midterm Exam / Solution / Histogram
Final Exam / Solution / Histogram

Presentations

  • Check your presentation schedule here.

Grades-So-Far

  • Check your grades for Hwk, Quiz, and Midterm here.

Resources

  • Convolution in Animation


  • Signal Modulation
  • Fourier Transform (Talk by Prof. Joe Havlicek explaining the meaning of the Fourier transform very clearly using music.)


Back to ECE301

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