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Instructor Class Description

Time Schedule:

Vladimir Chaloupka
PHYS 536
Seattle Campus

Introduction to Acoustics and Digital Signal Processing

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

This is a highly interdisciplinary course combining elements of complex calculus, elementary acoustics and physics of music, digital signal processing including the powerful method of maximum-length sequence, and advanced data representation such as the Wigner distribution. The course ends with a brief but meaningful introduction to Quantum Computing.

Student learning goals

elementary theory of complex variables (poles, residues and contour integration)

elementary acoustics

signal processing: elementary (Fourier transform and series) and advanced (Maximum-Length Sequence, Wigner distribution)

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. ( MATH 136 is equivalent to "two years of calculus".)

Class assignments and grading

Homework, plus a term paper.

Term paper plus Final Exam.


The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Additional Information
Last Update by Vladimir Chaloupka
Date: 12/20/2010