Line 8: Line 8:
 
== 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 (Inf) or nonexistent (NaN)- Landis
 
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
 +
 +
 +
Who ever submits their code with the fewest number of  commands gets a cookie. ---Adam Frey
  
 
Back to [[Homework]]
 
Back to [[Homework]]

Latest revision as of 13:35, 8 July 2009

Problem 1

Problem 2

Problem 3

Add your contributions to the Fourier Properties page.

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


Who ever submits their code with the fewest number of commands gets a cookie. ---Adam Frey

Back to Homework

Alumni Liaison

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

Buyue Zhang