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Unformatted text preview: EE4150 DIGITAL SIGNAL PROCESSING SPRING 2001 FINAL PROJECT OBJECTIVES : 1. Let the students familiarize with the standard IIR filter design techniques. 2. Let the students use MATLAB as an important tool in digital signal processing. 3. Apply the knowledge obtained so far in a reallife application. 1 Problem Description During a studio recording, the tapes were contaminated with noise and some giving distur bances. Only the spectra of the original recording is available, see Figure 1. Two takes are available and samples of length ≈ 6s are giving to us. The first recording Ym is known to be contaminated with lowfrequency noise 0 100Hz and a highfrequency disturbance 2kHz (har monics of this frequency are also present). The second recording Yn was contaminated with two sinusoidal disturbances at 200 and 220Hz. The recordings Ym and Yn (2 17 samples), the time reference vector t and sampling frequency Fs (22.05kHz) are contained in the MATLAB data file musicproject.mat . Filters must be design to process the recordings and attenuate the effect of the noise and disturbances. Obviously, the best achievable quality is sought. The use of MATLAB in the signals processing is essential....
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 Fall '10
 Wu
 Digital Signal Processing, Frequency, Signal Processing, frequency content, IIR Filter Design, sample frequency Fs

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