Course Kick-off / Orientation 6:00PM – 6:30PM EDT; Thursday, June 4, 2026
First Video Release, Thursday, June 4, 2026. Additional videos released weekly in advance of that week’s live session!
Live Workshops: 6:00PM – 7:30PM EDT; Thursdays, June 11, 18, 25, July 2, 9
Registration Fees:
IEEE Member Early Rate (by June 2): $190.00
IEEE Member Rate (after June 2): $285.00
IEEE Non-Member Early Rate (by June 2): $210.00
IEEE Non-Member Rate (after June 2): $315.00
Early registration deadline is: Thursday, June 2, 2026
Decision to run/cancel course: Tuesday, June 2, 2026
Registration is open through the last live workshop date. Live workshops are recorded for later use.
Please click on the link below to complete a compliance form. This policy is required to comply with U.S. export control laws and regulations.
https://dsp-coach.com/compliance-ieee
Please note: “If submission fails on your corporate network, please submit from a personal device or non-corporate network.”
Course Information will be distributed on Wednesday, June 3 in advance of and in preparation for the first live workshop session. A live orientation session will be held on Thursday, June 4, 2026
Attendees will have access to the recorded session and exercises for two months (until September 9, 2026) after the last live session ends!
This is a hands-on course combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.
Pre-Recorded Videos: The course format includes pre-recorded video lectures that students can watch on their own schedule, and an unlimited number of times, prior to live Q&A workshop sessions on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the course.
Course Summary
This course builds on the IEEE course “DSP for Wireless Communications” also taught by Dan Boschen, further detailing digital signal processing most applicable to practical real-world problems and applications in radio communication systems. Students need not have taken the prior course if they are familiar with fundamental DSP concepts such as the Laplace and Z transform and basic digital filter design principles.
This course brings together core DSP concepts to address signal processing challenges encountered in radios and modems for modern wireless communications. Specific areas covered include carrier and timing recovery, equalization, automatic gain control, and considerations to mitigate the effects of RF and channel distortions such as multipath, phase noise and amplitude/phase offsets.
Dan builds an intuitive understanding of the underlying mathematics through the use of graphics, visual demonstrations, and real-world applications for mixed signal (analog/digital) modern transceivers. This course is applicable to DSP algorithm development with a focus on meeting practical hardware development challenges, rather than a tutorial on implementations with DSP processors.
Now with Jupyter Notebooks!