School of Mechanical Engineering, Purdue University, West Lafayette, Indiana , USA.
Lecturer:
Prof. Patricia Davies, Rm. 2004, Ray W. Herrick Labs. TA: Reza Ramezanpour
Emails: daviesp@purdue.edu, rramezan@purdue.edu
[Put ME579 in Subject Line of Email]
Course Web Site: https://engineering.purdue.edu/ME579
Download this information as a .pdf file1.
Introduction to Signal
Processing
2. Deterministic Signals
2.1 Classification of deterministic data
2.2 Fourier series
2.3 Fourier integrals
2.4 The effect of filters and windows: multiplication and convolution
2.5 Sampling signals, analog to digital conversion and aliasing
2.6 The Discrete Fourier Transform (DFT)
2.7 Computation of Discrete Fourier Transforms
3. Introduction to Digital Filtering
3.1 Review of z transforms
3.2 Digital filter realizations
3.3 Frequency response of digital filters
3.4 Design of IIR filters
3.5 Design of FIR filters
4. Random Processes
4.1 Probability, distributions and density functions, expectation: mean, standard deviation, moments
4.2 Stochastic Processes: ensembles, probability density functions, moments of a stochastic process, correlation functions, stationarity, ergodicity, time averaging
4.3 Spectra: power and cross spectral densities
4.4 Input-output relationships for linear systems
4.5 Coherence functions
5. Estimation Methods
5.1 Estimator errors and accuracy: bias and variance of estimators
5.2 Estimators for stochastic processes
5.3 Estimation of power spectra
5.4 Estimation of cross spectral densities
5.5 Estimation of the coherence function
5.6 Frequency response function estimates
Class: Monday, Wednesday, Friday 11:30am-12:20pm.
Office Hours with Prof. Davies: Monday, Wednesday, Friday: 4:00-5:00pm at HLAB 2004 & Zoom
Topic: ME579 Office Hours with Prof. Davies MWF 4-5pm
Join Zoom Meeting
Meeting ID: 979 8848 2750
Passcode: 491657
Office Hours with Reza Ramezanpour, To be determined.
Updates will be announced on https://engineering.purdue.edu/me579.
K. Shin and J. K. Hammond
Fundamentals of Signal Processing for Sound and Vibration Engineers, Wiley, 2010.
Covers most of what we do in the course but not digital filter design. Written from a more Mechanical Engineering perspective than most signal processing books. Many basic undergraduate EE text books that cover digital filtering.
J.G.Proakis and D.G.Manolakis
Introduction to Digital Signal Processing, Macmillan, N.Y., 1988.
Covers most of what we do in the course, and a lot of other things too.
A.V.Oppenheim and R.W.Schafer
(a) Digital Signal Processing, Prentice Hall, N.J., 1985.
My personal favorite
signal processing text, treatment is mathematical. or
(b) Discrete-Time Signal Processing, Prentice-Hall, 1989.
Similar to (a) but certain sections are missing. It contains more
illustrations and is more user friendly. Sometimes used as a text in
undergraduate EE courses. Neither are good texts for an in depth treatment of
spectral analysis of random signals nor for transfer function estimation.
J.S.Bendat and A.G.Piersol
Random Data: Analysis and Measurement Procedures, 4th Ed., Wiley Interscience, 2010.
If much of the analysis that you do is with random data (e.g., wind noise, random excitation of structures) this book will be useful; it covers sections 4 and 5 of the course.
Exams: Exams are closed book, no crib sheets, no calculators nor any other electronic devices with communication capabilities or file storage capabilities. Pencil, eraser, pencil sharpener, and a straight edge (e.g., ruler) are all that are allowed. You are expected to know the formulae that are used in the class.
On campus students will take the exam in person. Off campus students may join the on campus students, if possible, or will join via a simultaneous Zoom room proctored by the instructor and/or the TA, or will be supervised by a local (to the student) pre-approved (by Purdue Instructors and/or Purdue Engineering On-Line’s Exam coordinators) site exam proctor.
Class Attendance and Note Taking: On-campus students should attend classes and take their own notes in class. On-campus students will not have access to the class videos.
Off-campus students should take notes when watching the video, and the video should be watched as soon as possible after the class is given. When an off-campus student is unable to attend via live streaming during the scheduled class time, the student should make a three one-hour sessions/week timetable (ideally spread out over the week) that suits their work schedule, and then adhere to that timetable throughout the semester. Stacking up many videos to be watched in one very long session is not a good approach to learning.
Grades: There are three main components in the grade assignment for this class. These are:
The weighting of each part of the graded components of the
class may vary depending on various factors, e.g., the difficulty of the
different components in a particular semester. Previous ranges: Final:
40-70%, Mid-Term: 15-30%, Homework: 10-40%. I.e., it is important to take all
three components very seriously and do your best in each. It is a straight
scale, so your grade is not dependent on the performance of other students
in the class.
A ≥ 90.00%, 89.99%≥B≥80.00%, 79.99% ≥ C ≥ 70.00%, 69,99≥D ≥ 60.00%, F≤ 59.99%.
In addition to high scores in the different components, completion of ALL homework assignments in a timely manner where “completion” means a substantial attempt at each problem was made, is viewed positively. Significant improvement in exam performance from the mid-term to the final, is also viewed as a positive. Half-hearted attempts at homework, or missing homework assignments are viewed very negatively.
See File posted on Home and Exams part of https://engineering.purdue.edu/me579.
In the event of a major campus emergency, course requirements, deadlines and grading percentages are subject to changes that may be necessitated by a revised semester calendar or other circumstances beyond the instructor’s control. Relevant changes to this course will be posted onto the course website or can be obtained by contacting the instructors or TAs via email or phone. You are expected to read your @purdue.edu email on a frequent basis.
The complete Wang Hall Building Emergency Plan can be found at:
Wang Hall
Building Emergency Plan: https://www.purdue.edu/ehps/emergency-preparedness/emergency-plans/bep/building-beps/wang--bep.html
See also Emergency
Warning Notification System: Purdue: https://purdue.edu/ehps/emergency-preparedness/purduealert/index.php
In summary:
Fire Alarm: leave the building immediately. Use the nearest exit. Do not use the Elevators. Congregate in the Northwestern Parking Garage. Shut doors behind you as you leave rooms and corridors in the building.
Tornados/Extreme Weather Events: Congregate on the 1st Floor Stairwell, Bathrooms or Janitors Closet (Behind the Elevators). If it is possible to be outside for a brief time, go to the corridor that connects the Northwest Parking Garage with the MSEE Basement.
Shelter in Place because of a possible violent attack: Stay in a room that can be locked (and is locked or secured so entry is blocked) and in a place that cannot be seen when viewed through windows or doors (closet, under desks, out of line of sight, etc.). it is preferable to be in a room without windows.
Shelter in Place because it is unsafe to go outdoors for other reasons: Shut doors and windows. Do not use elevators. Do not go outside or attempt to drive unless you are specifically instructed to evacuate.
Use email, web, cell phones, etc. to determine status of
emergency.
Call 911 to report any suspicious activity.
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