Digital Signal Processing I: ECE-GY 6113 / BE-GY 6403
Department of Electrical and Computer Engineering
Spring 2024
Description
EL 6113: Digital Signal Processing I. Discrete and continuous-time linear systems. Z-transform. Fourier transforms. Sampling. Discrete Fourier transform (DFT). Fast Fourier transform (FFT). Digital filtering. Design of FIR and IIR filters. Windowing. Least squares in signal processing. Minimum-phase and all- pass systems. Matlab programming exercises.
Class hours
Friday, 2:00 pm – 4:30 pm
Jacobs, Room 474 (Brooklyn Campus)
Web
Lecture notes, exercises, and other information on Brightspace, and at:
http://eeweb.poly.edu/iselesni/EL6113/
Text
Recommended:
Discrete-Time Signal Processing, third edition, by Oppenheim and Schafer. Prentice Hall, 2010. ISBN- 13: 978-0-13-198842-2
A Course On Digital Signal Processing, by Boaz Porat. John Wiley and Sons. (ISBN: 0-471-14961-6). Other DSP textbooks are also good references (Mitra, Proakis, etc.)
Grading
Assignments 32%
Midterm Exam 34%
Final Exam 34%
Students may work in groups on the HW assignments. However, what is submitted for HW should be individually written by the student and should represent the student’s individual understanding of the material.
In the event of academic dishonesty, a score of zero may be given for the item at issue. Additionally, the grade for the course may be reduced, including a failing grade for the course.
Midterm Exam
The Midterm Exam will have two components:
1. In-person in-class exam on Friday, March 29, 2024. No notes, closed book, no formula sheet, no computer, no cell phone. You are allowed to use non-graphing calculators.
2. At-home Matlab programming exam. This will be released after the Midterm Exam. You will have several days to complete it. You will submit your solution to Brightspace as an assignment.
Final Exam
The final exam will be in-person in-class on Friday, May 10, during the class period. This is during the final exam week.
For the final exam, you will be given some formulas on the exam (to be available). Other than those formulas, the final exam will be: No notes, closed book, no formula sheet, no computer, no cell phone. You are allowed to use non-graphing calculators.
NYU Brightspace
We will use the discussion board (forum) on the course web page in the NYU Brightspace system. You can opt to receive by email messages as they are posted on the form.
Students are encouraged to ask questions and post their own answers on the discussion board. The instructor or teaching assistants will also post comments on the online discussion board.
Software
MATLAB is a required software package for this course. NYU students can download MATLAB.
https://www.nyu.edu/life/information-technology/computing-support/software/software/ matlab.html
https://www.mathworks.com/academia/tah-portal/new-york-university-618777.html
Also, a student version of MATLAB is available online at https://www.mathworks.com for $99.00. This version includes the Signal Processing Toolbox.
MATLAB manuals are available in PDF format at www.mathworks.com. More Matlab tutorials are available on the web at http://eeweb.poly.edu/iselesni/Matlab/
The earlier in the semester you become comfortable with MATLAB, the better. Read through the
MATLAB tutorials.
If you are ill or have a personal emergency during the semester
If you are experiencing an illness or other situation that will likely affect your academic performance in a class, please email the Student Advocate. The Student Advocate can reach out to your instructors on your behalf when warranted.
Email: [email protected]
https://engineering.nyu.edu/life-tandon/student-life/student-advocacy
Inclusion Statement
The NYU Tandon School values an inclusive and equitable environment for all our students. I hope to foster a sense of community in this class and consider it a place where individuals of all backgrounds, beliefs, ethnicities, national origins, gender identities, sexual orientations, religious and political affili- ations, and abilities will be treated with respect. It is my intent that all students’ learning needs be addressed both in and out of class, and that the diversity that students bring to this class be viewed as a resource, strength and benefit. If this standard is not being upheld, please feel free to speak with me.
Moses Center Statement of Disability
If you are student with a disability who is requesting accommodations, please contact New York Uni- versity’s Moses Center for Students with Disabilities (CSD) at 212-998-4980 or [email protected]. You must be registered with CSD to receive accommodations. Information about the Moses Center can be found at http://www.nyu.edu/csd. The Moses Center is located at 726 Broadway on the 3rd floor.
NYU School of Engineering Policies and Procedures on Academic Misconduct
Introduction: The School of Engineering encourages academic excellence in an environment that pro- motes honesty, integrity, and fairness, and students at the School of Engineering are expected to exhibit those qualities in their academic work. It is through the process of submitting their own work and receiving honest feedback on that work that students may progress academically. Any act of academic dishonesty is seen as an attack upon the School and will not be tolerated. Furthermore, those who breach the School’s rules on academic integrity will be sanctioned under this Policy. Students are responsible for familiarizing themselves with the School’s Policy on Academic Misconduct.
Definition: Academic dishonesty may include misrepresentation, deception, dishonesty, or any act of falsification committed by a student to influence a grade or other academic evaluation. Academic dishonesty also includes intentionally damaging the academic work of others or assisting other students in acts of dishonesty. Common examples of academically dishonest behavior include, but are not limited to, the following:
1. Cheating: intentionally using or attempting to use unauthorized notes, books, electronic media, or electronic communications in an exam; talking with fellow students or looking at another person’s work during an exam; submitting work prepared in advance for an in-class examination; having someone take an exam for you or taking an exam for someone else; violating other rules governing the administration of examinations.
2. Fabrication: including but not limited to, falsifying experimental data and/or citations.
3. Plagiarism: intentionally or knowingly representing the words or ideas of another as one’s own in any academic exercise; failure to attribute direct quotations, paraphrases, or borrowed facts or information.
4. Unauthorized collaboration: working together on work that was meant to be done individually.
5. Duplicating work: presenting for grading the same work for more than one project or in more than one class, unless express and prior permission has been received from the course instructor(s) or research adviser involved.
6. Forgery: altering any academic document, including, but not limited to, academic records, admis- sions materials, or medical excuses.