Time Schedule:
Vladimir Chaloupka
PHYS 536
Seattle Campus
Introduces mathematical and physics principles of acoustics in digital signal processing applications. Complex analysis and Fourier methods, physics of vibrations and waves, solutions of the wave equation, digital convolution and correlation methods, and Maximum Length Sequence method in signal analysis and spread-spectrum applications. Prerequisite: PHYS 123; MATH 120.
Class description
The two really powerful techniques which will be covered are 1) complex analysis (contour integration, poles and residues etc) 2) the Maximum-Length Sequence Method: a state-of-the-art DSP application Many additional aspects of acoustics and DSP will be introduced; most will be illustrated on examples from Physics of Music and Musical Acoustics.
Student learning goals
General method of instruction
lectures, homework, lab exercise, and a field trip to measure room acoustics.
Recommended preparation
Pre-requisites are PHYS 123 or equivalent, and MATH 136 or equivalent. (Please note that the Catalogue and the "official decription" above erroneously list MATH 120. MATH 136 is equivalent to "two years of calculus".)
Class assignments and grading
Homework, plus a term paper.
Term paper plus a Final Exam.
