Catalog Level Description: This course covers the fundamentals of discrete-time signals and systems and digital filters. Specific topics include discrete-time Fourier transform (DTFT); Z-transforms; frequency response of linear discrete-time systems; sampling of continuous time signals, analog to digital conversion, sampling-rate conversion; basic discrete-time filter structures and types; finite impulse response (FIR) and infinite impulse response (IIR) filters; linear phase conditions; design of FIR and IIR filters; discrete Fourier transform (DFT) and the fast Fourier transform (FFT) algorithm. Applications in filtering and spectrum estimation, image filtering, adaptive filters, equalization.
See Spring 2021 course calendar for day-by-day calendar with assignments.
The course will operate on asynchronous instruction, where a week's worth of material will be released on Sunday and an assignment may be due the following Sunday. There will be two projects, a midterm exam and a final exam. In addition to pre-recorded lectures, there will be weekly instructor and TA office hours and a live recitation section run by the TA, which will be recorded and posted to Canvas afterwards. For full details see the sections below as well as the full course calendar and the first lecture video/slides.
You should enroll in Piazza and it will be a closed class (I.e only those registered for the class can access it). You can find the link above and in Canvas. Piazza will be used for all course announcements and discussions.
Lectures will be released as 2-3 separate videos in Canvas on Sunday. Lecture slides will also be posted on the course calendar webpage.
To facilitate access for all class members, these sessions, including your participation, are being recorded and the recordings will be made available to the class, for the duration of this course. These recordings, as well as previously recorded lectures and other course materials, are made available solely for your personal, educational use and may not be shared, copied or redistributed without the permission of Penn and the instructor. You are also not allowed to record class sessions yourselves. Unauthorized sharing or recording is a violation of the Code of Academic Integrity.
Recitations will be held by a TA on every Wednesday of the week. They will be used to work out suggested problems on homeworks and for exam review. The recitation recordings will be made available on Canvas following the session.
Homework will be due on select days indicated on the course calendar at midnight and must be uploaded into Canvas as a single PDF. Handwritten assignments will be accepted, but when specified computer generated figures, graphs and results must be submitted and everything should be still combined into a single PDF and submitted in Canvas. Homeworks must be legible and all work should be shown. Illegible submissions will not be graded.
If a student turns in a late assignment without enough late days, the assignment will not be accepted and will receive a 0. It is the students' responsiblity to keep track of their late days. If assignments or exams fall due on a religious holiday or there is an extenuating circumstance, please make arrangements with the instructor to accommodate before the posted due date.
Exams will be administered in Canvas, where you will have a time window to complete the exam. For more information see relevant lecture videos/slides.
Each student is expected to do his/her own work -- including developing the details, writing code, performing simulations, and writing the solutions. For the homeworks and projects, you are free to discuss basic strategies and approaches with your fellow classmates or others, but detail designs, implementations, analysis, and writeups should always be the work of the individual. If you get advice or insights from others that influenced your work in any way, please acknowledge this in your writeups.
In general, you are expected to abide by Penn's Code of Academic Integrity. If there is any uncertainty, please ask.