EE513 Audio Signals and Systems
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Instructor: Dr. K.D.
Donohue |
Phone: 859-257-4004 |
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Office: 689
FPAT |
Office Hours:
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TA: Jingjing Yu |
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Email: jyu5@uky.edu |
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Office: 556 FPAT |
Office Hours: MWF
2:30-3:30pm |
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Prerequisite: Graduate student or
undergraduate with engineering standing
and completed
A
student who has successfully completed this course should be able to:
1.
Characterize
digital audio systems with difference equations and transfer functions.
2.
Characterize
digital audio signals with correlation functions and power spectra.
3.
Design
systems for processing audio data for applications such as filtering, audio
effects, and signal classification.
4.
Know
the fundamental principles of acoustic energy generation and propagation.
5.
Program
with mathematics software to implement and evaluate designs.
6.
Work
as a team to solve multi-component problems.
Optional Text:
Speech and Audio Signal Processing
(Processing and Perception of Speech and Music), Ben Gold and
Nelson Morgan, John Wiley & Sons, 2000.
Class Email
List: To receive relevant communications and
homework assignments for this class you must register for the list at the
following web site: http://lists.engr.uky.edu/mailman/listinfo/ee513
Materials: Matlab will be use extensively and is on all
university computers. A student edition
of Matlab is also available see http://www.mathworks.com/support/product/SV/
for more information.
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Grading
Undergraduate: |
Final |
30% |
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Quizzes (4) |
20% |
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Studio
Assignments (4) |
36% |
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Homework (7) |
14% |
Grading scale:
For undergraduates
100-90% = A, 90-80% = B, 80-70% =C, 70-60% = D, and 60-0% E.
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Grading Graduate: |
Final |
30% |
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Quizzes (4) |
20% |
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Studio
Assignments (4) |
36% |
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Homework (7) |
7% |
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Paper/literature
Review (1) |
7% |
Grading scale:
For graduates
100-90% = A, 90-80% = B, 80-70% =C, 70-0% E.
Final
Quizzes: Quizzes will be given throughout the semester
to test recently acquired skills / knowledge.
In-class quizzes will typically involve problems that can be solved
without the help of specialized computer software. Take-home quizzes will require the use of
specialized software and the solutions are to be completed independently. No makeup quizzes will be given. The quizzes primarily assess course outcomes
1 through 4.
Studio
Assignments: Studio
assignments involve designing, implementing, and demonstrating a solution by
students working in teams (typically 2 to 3).
Time will be given in class (location will be in a lab with
workstations) to work on the problems with instructor present for
interactions. The assignment may extend
over several class periods. Each student
will hand in a report consisting of the problems statement, the approach taken
by the team to solve the problems, and a description of their individual contribution to the
team. At the end of the assignment, all
teams will present a short (10 minute) demonstration of the results and answer
questions. The final grade will have a
common component based on the solution and how effectively the group worked
together, and an individual component based on the report summarizing their
contributions to the project solution.
Individual reports should be no more than 3 pages (single spaced 12
point font). The use of figures, tables,
and equations is highly recommended for make the report clear and concise. Commented code developed completely or
partially by the individual should be submitted with the report in an appendix.
The studio assignments assess course outcomes 5 and 6.
Homework: Homework primarily involves
responding to problems posed in the textbook or in the lecture. Homework assignments focus on the assessment
of outcomes 1 through 4. Late homework
assignments will not be accepted.
Paper Review: For graduate students only, read a research paper (approved first
by instructor) related to audio signals/systems and write a critical report on
it. The report must accurately
summarize what the authors claim to show, describe the methods used to make
their point, and critically assess the degree to which they established their
claims. The paper review primarily
assesses outcomes 1 through 4.
Unethical behavior: The following activities are unethical:
·
Using data you
did not measure
·
Recording values
you did not observe
·
Copying a portion
of work belonging to someone else
Any of these will result in
the consequences described in the university’s policy on academic dishonesty.
(see http://www.chem.uky.edu/research/grossman/acadoffenses/index.htm ).
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Tentative Course Schedule EE513 |
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Lecture
Dates |
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Problems |
Lecture Topics |
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1 |
1-14,19,21 |
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HW1
(due 1-22) |
History/Introduction to Matlab’s sound
functions |
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2 |
1-22,24 |
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HW2
(due 1-26) |
DSP general models (Z-transforms and
difference equations) |
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1-26,28 |
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Studio
Assignment 1: Digital oscillator for a complex tone |
Digital oscillators, Complex tones (Quiz
1) |
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3 |
2-2,4 |
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HW3
(due 2-9) |
Digital filters (graduate students: propose paper 2-7) (Quiz 2) |
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4 |
2-9,11, 16 |
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HW4:
(due 2-18) |
PSD, Spectrograms, and correlation
functions, Filter design, Optimal filtering |
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5 |
2-18,23 |
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Studio
Assignment 2: Characterize noise (room,/quantization)
distortion (sampling/amplifier) |
Noise, distortion, and sampling (Quiz 3) |
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6 |
2-25,3-2,4 |
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Studio Assignment 3: Filter
design for signal enhancement |
Filter design, Optimal filtering |
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3-9,11 |
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HW
5: (due 3-23) |
Speech (modeling sounds from human
voice mechanics) (Quiz
5) |
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Spring Break! |
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6 |
3-23,25 |
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HW
6: (Due 3-30) |
LPC analysis (Quiz 4) |
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7 |
3-30,4-1 |
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HW
7: (Due 4-6) |
Feature vectors, Pattern classification,
Minimum Distance |
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8 |
4-6,8 |
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Classifiers: MAP, Linear Discriminant |
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9 |
4-13, 15, 20,22 |
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Studio
Assignment 4: Design, build, and test a
classifier for speech |
(graduate
students: Hand in paper review) |
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10 |
4-27,29 |
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Review |
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5-6 |
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Final Exam 3:30 PM |
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