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* [[ECE438_Week12_Quiz_Q1sol|Solution]].
 
* [[ECE438_Week12_Quiz_Q1sol|Solution]].
 
----
 
----
Q2.  
+
Q2. Consider the discrete-time signal
 +
 
 +
<math>x[n]=6\delta[n]+5 \delta[n-1]+4 \delta[n-2]+3 \delta[n-3]+2 \delta[n-4]+\delta[n-5].</math>
 +
 
 +
a) Obtain the 6-point DFT X[k] of x[n].
 +
 
 +
b) Obtain the signal y[n] whose DFT is <math>W_6^{-2k} X[k]</math>.
 +
 
 +
c) Compute six-point circular convolution between x[n] and the signal
 +
 
 +
<math>h[n]=\delta[n]+\delta[n-1]+\delta[n-2].</math>
  
 
* [[ECE438_Week12_Quiz_Q2sol|Solution]].
 
* [[ECE438_Week12_Quiz_Q2sol|Solution]].

Revision as of 11:27, 9 November 2010


Quiz Questions Pool for Week 12


Q1. Consider a causal FIR filter of length M = 2 with impulse response

$ h[n]=\delta[n-1]+\delta[n-2]\,\! $

a) Provide a closed-form expression for the 9-pt DFT of $ h[n] $, denoted $ H_9[k] $, as a function of $ k $. Simplify as much as possible.

b) Consider the sequence $ x[n] $ of length 9 below,

$ x[n]=\text{cos}\left(\frac{2\pi}{3}n\right)(u[n]-u[n-9])\,\! $

$ y_9[n] $ is formed by computing $ X_9[k] $ as an 9-pt DFT of $ x[n] $, $ H_9[k] $ as an 9-pt DFT of $ h[n] $, and then $ y_9[n] $ as the 9-pt inverse DFT of $ Y_9[k] = X_9[k]H_9[k] $.

Express the result $ y_9[n] $ as a weighted sum of finite-length sinewaves similar to how $ x[n] $ is written above.


Q2. Consider the discrete-time signal

$ x[n]=6\delta[n]+5 \delta[n-1]+4 \delta[n-2]+3 \delta[n-3]+2 \delta[n-4]+\delta[n-5]. $

a) Obtain the 6-point DFT X[k] of x[n].

b) Obtain the signal y[n] whose DFT is $ W_6^{-2k} X[k] $.

c) Compute six-point circular convolution between x[n] and the signal

$ h[n]=\delta[n]+\delta[n-1]+\delta[n-2]. $


Q3.


Q4.


Q5.


Back to ECE 438 Fall 2010 Lab Wiki Page

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Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva