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Displaying course information from Spring 2014.
|E||DIS||1230 - 1350||T R||260 Everitt Lab||Paris Smaragdis
|Official Description||Resonance and wave phenomena; acoustics of rooms and auditoriums; artificial reverberation and sound localization-spatialization; loudspeakers, enclosures, and microphones; topics in digital audio. Course Information: 3 undergraduate hours. 3 graduate hours. Prerequisite: ECE 290, ECE 310, and ECE 473.|
|Subject Area||Biomedical Imaging, Bioengineering, and Acoustics|
|Course Prerequisites||Credit in ECE 290 or ECE 198 or ECE 120
Credit in ECE 310
Credit in ECE 473
|Detailed Description and Outline
To obtain an understanding of acoustics and signal processing fundamentals as they apply to the audio field. To facilitate an ability to read articles at the level of the Journal of the Audio Engineering Society. To contribute to a background useful for a position in the audio industry.
L. E. Kinsler et al., Fundamentals of Acoustics, 4th ed., John Wiley & Sons, 2000.
Engineering Science: 3 credits or 100%
By the time of the midterm exam, students should be able to do the following:
2. Compute the frequency response and impulse response of a duct, or of a rectangular room (a,k).
3. Given a matrix frequency response representing a two-port system, calculate the one-port frequency response that results from constraints on any two of the inputs (a,b,e,m).
4. Compute the magnitude and phase response of a speaker/microphone pair given tonepip measurements at different frequencies (a,b,c).
5. Analyze an equivalent circuit to calculate the magnitude and phase response of a moving armature loudspeaker, electrostatic loudspeaker, electrodynamic microphone, or condenser microphone (a,b,d,g,m).
6. Create a desired microphone directivity pattern by scaling and adding omnidirectional and ﬁgure-eight patterns (a,b,e).
7. Calculate the perceptual loudness of a sound made up of spectrally distinct tones and noise bands (b,c,k,m).
8. Determine whether or not one simple sound (tone or noiseband) will perceptually mask another (b,e,h,m).
9. Estimate the pitch of a speech or musical signal using autocorrelation (a,b,e).
10. Use the correlogram method to estimate the pitches of two bandpass-ﬁltered harmonic signals played simultaneously (a).