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[[Hw1 ECE301S11 Ben Winski]]  
 
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[[hw1_ECE301S11_David Baer]]
  
 
[https://www.projectrhea.org/rhea/index.php/Hw1_ECE301S11_Charles_Peak HW1 ECE301S11 Charles Peak]
 
[https://www.projectrhea.org/rhea/index.php/Hw1_ECE301S11_Charles_Peak HW1 ECE301S11 Charles Peak]

Revision as of 11:47, 18 January 2011

Homework 1

Due by 6pm, Wednesday January 19, 2011

How to hand in

You have two options to hand in your homework.

  • Option 1 (preferred option, by far the easiest!)
Create a Rhea page called "hw1_ECE301S11_yourname" and post a link to it below. Post all your results on that page, including all your explanations, MATLAB code and sound files. You must read this disclaimer before posting. If you wish to post anonymously, please contact your instructor to get a new login name (to be used in place of your career account login).
  • Option 2
Write a report and save it in pdf format. Then zip your report along with your code and sound files, and upload these in this dropbox .

Hw1_ECE301S11_Jeff_Gaines

Hw1 ECE301S11 travis rother

Hw1 ECE301S11 Richard Gieseck

Hw1 ECE301S11 Zachary Graber

Hw1_ECE301S11_Shannon_Rigney

HW1_ECE301S11_Shi_Jia

Hw1 ECE301S11 Derek Richards

Hw1 ECE301S11 Dan Sabo

Hw1 ECE301S11 Yixin Wang

Hw1 ECE301S11 Yimin Xiao

Hw1 ECE301S11 Michael Gardner

Hw1 ECE301S11 Alberto Peralta

Hw1 ECE301S11 Sachin Santhakumar

Hw1 ECE301S11 Megha Reddy

Hw1_ECE301S11_Carolyn McMican

Hw1 ECE301S11 Ethan Hall

Hw1 ECE301S11 Bo Yuan

HW1 ECE301S11 Matt Mabry

HW1 ECE301S11 Kyle Haver

Hw1 ECE301S11 Chris Breslin

Hw1 ECE301S11 Oliver Regele

Hw1 ECE301S11 Krishna Jhajaria

Hw1 ECE301S11 Jitbhat Patmastana

Hw1 ECE301S11 Plengrapin Buason

Hw1 ECE301S11 Michael Meyer

Hw1 ECE301S11 Jordan Ramer

Hw1 ECE301S11 Ben Winski

hw1_ECE301S11_David Baer

HW1 ECE301S11 Charles Peak

HW1 ECE301S11 Josh O'Meara

If you have questions

If you have questions or cannot get this problem to work, then just post what you get along with your Matlab code on the hw1 discussion page. All students are encouraged to help each other on this page. Your TA and instructor will read this page regularly and attempt to answer your questions as soon as possible.

  1. Playing Music


  2. The frequency of any note is related to the frequency of the note middle A (A4) by the following formula:
    $ f=2^{\frac{n}{12}}\cdot f_A $,
    where n is the number of haft steps from A4 and fA is the frequency of A4. Note that if the note is higher than A4 then n is a postive integer, and if it is lower than A4 n is a negative integer.


    Recall from class that a sine wave with a 440 Hz frequency is the note A4. Write a Matlab routine that plays the three following tunes consecutively.

    1. The main melody of the song "Smoke On The Water" by Deep Purple. You have to play the melody at its original tempo (112 beats per minute). The melody transcription is here. The first note is G4. The notes and their corresponding timings are written above and below the staff. In case you don't know this song, you can find it on Youtube. (You can make use of the Matlab functions wavplay or sound and function wavwrite.)
    2. The tune of a) played 2 times faster.
    3. Take the signal x(t) corresponding to the tune of a) and rescale it according to the transformation $ y(t)=x(2t). $

    Hand in your Matlab code and a sound file containing your results for parts a), b), and c).

  3. Hidden Backward Message

  4. This extract Beatles.wav of a song by The Beatles is said to have a subliminal message that is repeated several times.

    1. What is the forward repeated phrase.
    2. Write a Matlab routine to extract the subliminal message by playing the extract backwards. Hand in your Matlab code along with a sound file containing the output of your routine (i.e. the reversed version of the song). Then answer the question: Does the reverse song contain a message? If so, what is it? (You can make use of the Matlab functions wavread, wavwrite, and flipud.)

    3. Back to 2011 Spring ECE 301 Boutin

Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman