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<math>\text{Q3.}</math>
 
<math>\text{Q3.}</math>
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The following figure shows the flow diagram that results for an N=8 FFT algorithm. The bolded line indicates a path from input sample x[7] to DFT sample X[2].
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a) What is the gain of the path?
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b) How many paths exist beginning at x[7] and ending up at X[2]? Does the result apply to a general condition? i.e. How many paths are there between every input sample and output sample?
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c) Consider DFT sample X[2]. Following paths displayed in the flow diagram. Prove that every input sample contributes the proper amount to the output DFT sample.
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i.e. <math>X[2]=\sum_{n=0}^{N-1} x[n]e^{-j(2\pi /N)2n}</math>
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* [[ECE438_Week8_Quiz_Q3sol|Solution]].
 
* [[ECE438_Week8_Quiz_Q3sol|Solution]].
 
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* [[ECE438_Week8_Quiz_Q5sol|Solution]].
 
* [[ECE438_Week8_Quiz_Q5sol|Solution]].
 
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<math>\text{Q6.}</math>
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* [[ECE438_Week8_Quiz_Q6sol|Solution]].
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Back to [[ECE438_Lab_Fall_2010|ECE 438 Fall 2010 Lab Wiki Page]]
 
Back to [[ECE438_Lab_Fall_2010|ECE 438 Fall 2010 Lab Wiki Page]]
  
 
Back to [[2010_Fall_ECE_438_Boutin|ECE 438 Fall 2010]]
 
Back to [[2010_Fall_ECE_438_Boutin|ECE 438 Fall 2010]]

Revision as of 15:35, 12 October 2010


Under construction -Jaemin


Quiz Questions Pool for Week 8


Q1. Find the impulse response of the following LTI systems and draw their block diagram.

(assume that the impulse response is causal and zero when $ n<0 $)

$ {\color{White}ab}\text{a)}{\color{White}abc}y[n] = 0.6 y[n-1] + 0.4 x[n] $

$ {\color{White}ab}\text{b)}{\color{White}abc}y[n] = y[n-1] + 0.25(x[n] - x[n-3]) $


Q2. Suppose that the LTI filter $ h_1 $ satifies the following difference equation between input $ x[n] $ and output $ y[n] $.

$ {\color{White}ab} y[n] = h_1[n]\;\ast\;x[n] = \frac{1}{4} y[n-1] + x[n] $

($ \ast $ implies the convolution)

Then, find the inverse LTI filter $ h_2 $ of $ h_1 $, which satisfies the following relationship for any discrete-time signal $ x[n] $,

(assume that the impulse responses are causal and zero when $ n<0 $)

$ {\color{White}ab} x[n] = h_2[n]\;\ast\;h_1[n]\;\ast\;x[n] $


$ \text{Q3.} $

The following figure shows the flow diagram that results for an N=8 FFT algorithm. The bolded line indicates a path from input sample x[7] to DFT sample X[2].

a) What is the gain of the path?

b) How many paths exist beginning at x[7] and ending up at X[2]? Does the result apply to a general condition? i.e. How many paths are there between every input sample and output sample?

c) Consider DFT sample X[2]. Following paths displayed in the flow diagram. Prove that every input sample contributes the proper amount to the output DFT sample.

i.e. $ X[2]=\sum_{n=0}^{N-1} x[n]e^{-j(2\pi /N)2n} $


$ \text{Q4.} $


$ \text{Q5.} $


Back to ECE 438 Fall 2010 Lab Wiki Page

Back to ECE 438 Fall 2010

Alumni Liaison

ECE462 Survivor

Seraj Dosenbach