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== Problem 4 ==
 
== Problem 4 ==
Hint: You may run into troubles when computing <math>a_0</math> using the general formula <math>a_k = \frac1T\int_{T}x(t)e^{-jk\omega_0t}dt</math>.  Instead compute <math>a_0 = \frac1T\int_{T}x(t)dt</math>, then make sure that your Matlab code is not computing <math>a_0</math> as something infinite or nonexistent (NaN)- Landis
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Hint: You may run into troubles when computing <math>a_0</math> using the general formula <math>a_k = \frac1T\int_{T}x(t)e^{-jk\omega_0t}dt</math>.  Instead compute <math>a_0 = \frac1T\int_{T}x(t)dt</math>, then make sure that your Matlab code is not computing <math>a_0</math> as something infinite (Inf) or nonexistent (NaN)- Landis
  
 
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Revision as of 10:58, 8 July 2009

Problem 1

Problem 2

Problem 3

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Problem 4

Hint: You may run into troubles when computing $ a_0 $ using the general formula $ a_k = \frac1T\int_{T}x(t)e^{-jk\omega_0t}dt $. Instead compute $ a_0 = \frac1T\int_{T}x(t)dt $, then make sure that your Matlab code is not computing $ a_0 $ as something infinite (Inf) or nonexistent (NaN)- Landis

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

Buyue Zhang