Simulations Assignments


  • Homework 2: Question 6 (Levinson Method)
  • Homework 4: Question 4
  • Homework 4: Question 5

    • Simulation 4 (Homework 5: Question 2)

    This problem deals with adaptive noise cancellation using the LMS algorithm. You will need two data streams: one corresponding to signal plus noise and the other corresponding to noise. You could synthesize such data but this would be too far from the real situation. Thus
    (a) Use the speech data files provided on the course web page. The files are for speech plus noise, and only noise. You will notice that you cannot decipher the speech when you play the speech plus noise file; but upon proper implementation of the noise cancellation algorithm you will be able to decipher the speech.
    i. noise3.wav and signal noise3.wav form one pair
    ii. snp.wav and n.wav from one pair
    iii. look for other such pairs on the web; these can also be included in the noise cancellation simulation data set.

    Data set 1:
  • Signal + noise
  • Noise
  • Recovered signal (M=4, Mu=0.005)
  • Recovered signal (M=4, Mu=0.1)

    • Data set 2:
  • Signal + noise
  • Noise
  • Recovered signal (M=4, Mu=0.005)
  • Recovered signal (M=4, Mu=0.1)

    • There wasn't any perceptible difference between recovered signals with different Mu.