Revision as of 18:08, 25 September 2008 by Kschrems (Talk)

Define a DT LTI System

$ \,\ y[n] = 5 * x[n-5] + 6 * x[n-6] $

a) h[n] and H[z]


In order to find h[n], we input $ x[n] = \delta [n] $ to y[n]. h[n] is then the unit impulse response.

$ \,\ x[n] = \delta [n] $
$ \,\ y[n] = 5 * \delta [n-5] + 6 * \delta [n-6] $

H[z] is the system's function, and is defined by: $ \sum_{m = -\infty}^{\infty} h[m] * Z $-m

b) Response of Signal in Question 1


From Question 1: Unfortunately, I did not make a DT signal for Parts 1/2. Instead of going back and redoing my work, I am going to "steal" the work of a Mr. Collin Phillips (my apologies and gratitude to Mr. Collin Phillips).

According to his work:

  • $ \,\ X[n] = 3cos(3\pi n + \pi) $
  • $ \,\ a_0 = 0 $
  • $ \,\ a_1 = -3 $
  • $ \,\ a_k = 0 $ elsewhere
  • $ \,\ N = 2 $


Response of the System $ \,\ y[n] = \sum_{k = <N>}^{\infty} a_k H[e $$ j2\pi k/N $$ \,\ ]e $$ jk(2\pi /N) n $

Because $ a_k $ only has one value, this shouldn't be that hard to calculate.

$ \,\ a_k $ is only valid at $ a_1 = -3 $. Therefore...

$ \,\ y[n] = -3 * $

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Sees the importance of signal filtering in medical imaging

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