This preview shows page 1 out of 3 pages.

Save
View full document
View full document
Premium Document
Do you want full access? Go Premium and unlock all 3 pages.
Access to all documents
Download any document
Ad free experience
Premium Document
Do you want full access? Go Premium and unlock all 3 pages.
Access to all documents
Download any document
Ad free experience

Unformatted text preview:

MIT OpenCourseWare http://ocw.mit.edu MAS.160 / MAS.510 / MAS.511 Signals, Systems and Information for Media Technology Fall 2007 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.DUE: November 12, 2003s and Rosalind Picard T.A. Jim McBrideMAS160: Signals, Systems & Information for Media Technology Problem Set 6 Instructor : V. Michael Bove, Jr. Problem 1: Frequency response of FIR filters (DSP First 6.4) Problem 2: Simple sound filtering Using our old friend the sumcos function, create a sound with a fundamental frequency of 440 Hz, with 12 harmonics of equal amplitude and zero phase, and using the following parameters: fs = 11025; % Sets sampling rate to 11025 Hz f = 440*[1:12]; % Creates frequency vector of 12 harmonics of 440 Hz X = ones(1,12); % Creates amplitudes of 1 dur = 1; % Sets duration to be 1 sec Use MATLAB to perform the following tasks: (a) Create a three-point averaging FIR filter and plot the frequency response (magnitude and phase) of this filter using freqz. What is this filter supposed to do? Filter the sound you created above with this filter. How does it compare to the original sound? (b) Create a two-point first difference FIR filter and plot the frequency response (magni-tude and phase) of this filter using freqz. What is this filter supposed to do? Filter the original sound you created above using this new filter. How does it compare to the original sound? Problem 3: Return of the Labs: DSP First Lab 5 Items to be turned in: (a) Plots and answers to questions specified in C.5.2.1. (b) Plots and answers to questions specified in C.5.3.2. (c) Demonstrate linearity and time-invariance of filter (C.5.3.3 and C.5.3.4). (d) Plots and answers to questions specified in C.5.3.5. PS 6-1Problem 4: Additional Problem (for MAS.510) The matlab function zplane is great for plotting the poles and zeros of a system in the z-plane. Use zplane as well as freqz to answer the following questions. (a) Consider the general N -point FIR averaging filter, where each coefficient bk is simply 1 . Plot the zeros of this system in the z-plane as well as the frequency response N (magnitude and phase) for N = 3, 4, 5, and 10. How does the position of the zeros change? Qualitatively, how does the frequency response change, and how does this relate to the location of the zeros? Does N being an even or odd number have any effect? (b) Consider the general N -point FIR difference filter, where each coefficient bk is simply (−1)k . Plot the zeros of this system in the z-plane as well as the frequency response N (magnitude and phase) for N = 3, 4, 5, and 10. How does the position of the zeros change? Qualitatively, how does the frequency response change, and how does this relate to the location of the zeros? Does N being an even or odd number have any effect? PS


View Full Document

MIT MAS 160 - Problem Set 6

Download Problem Set 6
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view Problem Set 6 and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view Problem Set 6 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?