IEEE Boston Section
Upcoming Events!
This long-running IEEE Course has been updated to include Jupyter Notebooks which incorporates graphics together with Python simulation code to provide a “take-it-with-you” interactive user experience. No knowledge of Python is required but the notebooks will provide a basic framework for proceeding with further signal processing development using that tools for those that have interest in doing so. This course will not be teaching Python, but using it for demonstration. A more detailed course on Python itself is covered in a separate IEEE Course “Python Applications for Digital Design and Signal Processing”. Students will be encouraged but not required to load all the Python tools needed, and all set-up information for installation will be provided prior to the start of class. Target Audience: All engineers involved in or interested in signal processing applications. Engineers with significant experience with DSP will also appreciate this opportunity for an in-depth review of the fundamental DSP concepts from a different perspective than that given in a traditional introductory DSP course. Benefits of Attending/ Goals of Course: Attendees will build a stronger intuitive understanding of the fundamental signal processing concepts involved with digital filtering and mixed signal analog and digital design. With this, attendees will be able to implement more creative and efficient signal processing architectures in both the analog and digital domains. The knowledge gained from this course will have immediate practical value for any work in the signal processing field. Topics / Schedule: Class 1: Correlation, Fourier Transform, Laplace Transform Class 2: Sampling and A/D Conversion, Z –transform, D/A Conversion Class 3: IIR and FIR Digital filters, Direct Fourier Transform Class 4: Windowing, Digital Filter Design, Fixed Point vs Floating Point Class 5: Fast Fourier Transform, Multi-rate Signal Processing, Multi-rate Filters 
Speaker’s Bio: Dan Boschen has a MS in Communications and Signal Processing from Northeastern University, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held various positions at Signal Technologies, MITRE, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems. Dan is currently at Microchip (formerly Microsemi and Symmetricom) leading design efforts for advanced frequency and time solutions. For more background information, please view Dan’s Linked-In page at: http://www.linkedin.com/in/danboschen COURSE DESCRIPTION
First Video Release, Friday, April 1, 2022, additional videos released weekly in advance of that week’s live session!
Live Workshops: 6:00PM – 7:30PM EDT, Thursdays, April 7, 14, 21, 28, May 5
Attendees will have access to the recorded session and exercises for two months (until July 5) after the live session ends!
Speaker: Dan Boschen
IEEE Member Fee: $190.00
Non-Member Fee: $210.00
Decision to run/cancel course: Monday, March 28, 2022
COURSE DESCRIPTION
New Format Combining Live Workshops with Pre-recorded Video
This is a hands-on course providing pre-recorded lectures that students can watch on their own schedule and an unlimited number of times prior to live Q&A/Workshop sessions with the instructor. Ten 1.5 hour videos released 2 per week while the course is in session will be available for up to two months after the conclusion of the course.
Course Summary
This course is a fresh view of the fundamental and practical concepts of digital signal processing applicable to the design of mixed signal design with A/D conversion, digital filters, operations with the FFT, and multi-rate signal processing. This course will build an intuitive understanding of the underlying mathematics through the use of graphics, visual demonstrations, and applications in GPS and mixed signal (analog/digital) modern transceivers. This course is applicable to DSP algorithm development with a focus on meeting practical hardware development challenges in both the analog and digital domains, and not a tutorial on working with specific DSP processor hardware.
Now with Jupyter Notebooks!
This long-running IEEE Course has been updated to include Jupyter Notebooks which incorporates graphics together with Python simulation code to provide a “take-it-with-you” interactive user experience. No knowledge of Python is required but the notebooks will provide a basic framework for proceeding with further signal processing development using that tools for those that have interest in doing so.
This course will not be teaching Python, but using it for demonstration. A more detailed course on Python itself is covered in a separate IEEE Course “Python Applications for Digital Design and Signal Processing”.
Students will be encouraged but not required to load all the Python tools needed, and all set-up information for installation will be provided prior to the start of class.
Target Audience:
All engineers involved in or interested in signal processing applications. Engineers with significant experience with DSP will also appreciate this opportunity for an in-depth review of the fundamental DSP concepts from a different perspective than that given in a traditional introductory DSP course.
Benefits of Attending/ Goals of Course:
Attendees will build a stronger intuitive understanding of the fundamental signal processing concepts involved with digital filtering and mixed signal analog and digital design. With this, attendees will be able to implement more creative and efficient signal processing architectures in both the analog and digital domains. The knowledge gained from this course will have immediate practical value for any work in the signal processing field.
Topics / Schedule:
Class 1: Correlation, Fourier Transform, Laplace Transform
Class 2: Sampling and A/D Conversion, Z –transform, D/A Conversion
Class 3: IIR and FIR Digital filters, Direct Fourier Transform
Class 4: Windowing, Digital Filter Design, Fixed Point vs Floating Point
Class 5: Fast Fourier Transform, Multi-rate Signal Processing, Multi-rate Filters
Speaker’s Bio:
Dan Boschen has a MS in Communications and Signal Processing from Northeastern University, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held various positions at Signal Technologies, MITRE, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems. Dan is currently at Microchip (formerly Microsemi and Symmetricom) leading design efforts for advanced frequency and time solutions.
For more background information, please view Dan’s Linked-In page at: http://www.linkedin.com/in/danboschen
Entrepreneurs’ Network
Event Schedule:
7:00 pm ET – Introduction – ENET Chairperson’s announcements
7:10 pm ET – eMinute Pitch – Up to 3 Startup pitches
7:25 pm ET – Expert Panel – 4 expert speakers on the night’s topic
8:10 pm ET – Q & A – Moderator and Audience Q & A with the speakers
8:30 pm ET – Networking
More details coming soon!
Electromagnetic Compatibility Society
Location: Zoom Webinar
Distinguished Engineer and Chief EM Technologist at Apple
Speaker: Dr. Cheung-Wei Lam
Abstract: In today’s high-speed system designs, a good understanding of inductance and current return path is important for signal integrity and EMI control. Unfortunately, several key concepts about the two have often been misunderstood or overlooked. This presentation will discuss the main concepts and some common misconceptions about inductance and current return path. Examples will be given at the chip and PCB levels.
Biography: Dr. Cheung-Wei Lam is a Distinguished Engineer and Chief EM Technologist at Apple. Prior to Apple, he was a co-founder at Transcendent Design Technology and a principal engineer at Quad Design Technology. Dr. Lam received B.S. from the Chinese University of Hong Kong, and S.M./Ph.D. from MIT.
He currently serves as an IEEE EMC Society Respected Speaker and was a past IEEE EMC Society Distinguished Lecturer.
Zoom Webinar Meeting Link / Information will be shared with our mailing list and provided closer to the event. It will also be posted on our IEEE EMC Society Boston Chapter website under the Events section: www.emcsbostonchapter.com/events
Life Members and co-sponsoring Technology & Engineering Management Society
Location: Virtual Speaker: Dr Antonia Zaferiou, Stevens Institute of Technology
The Musculoskeletal Control and Dynamics Lab at Stevens Institute of Technology has a mission to understand and improve movement mechanics during activities of daily living and athletic maneuvers. Dr. Antonia Zaferiou, Director of this lab, focuses some current research on how people concurrently manage multiple mechanical objectives during complex and ecologically valid whole-body rotations. Working towards improving movement mechanics, her team and collaborators have been developing sound biofeedback to facilitate motor learning using “sonification”, which conveys movement measurements through musical cues and soundscapes in real-time. In this talk, she will describe how the lab is uncovering strategies older adults use to balance during turning while walking and developing adaptive sonified biofeedback to facilitate balance training. This research includes critical goals to (a) personalize biofeedback so that it partners and adapts with each older adult’s motor behavior and (b) compare turns in real-world environments to those performed inside the lab using wearable sensors.
Author Biography:
Dr. Antonia Zaferiou is an Assistant Professor in the Department of Biomedical Engineering at Stevens Institute of Technology. Dr. Zaferiou received her BE in Mechanical Engineering from The Cooper Union and MS and PhD in Biomedical Engineering from University of Southern California. After her doctoral studies, she was a postdoctoral researcher in the Department of Mechanical Engineering at University of Michigan. Before joining Stevens Institute of Technology, she directed a biomechanics lab in the Department of Orthopedic Surgery at Rush University Medical Center. She currently directs the Muscoskeletal control and dynamics Lab in the Biomedical Engineering department at the Stevens Institute of Technology
This talk will be held virtually 7:00PM – 8:00PM, Eastern Time – Wednesday, April 20, 2022. The link to access the talk will be posted soon.
News!
SPECIAL NOTICE – CORONAVIRUS (COVID-19)
IEEE Boston Section recognized for Excellence in Membership Recruitment Performance
IEEE Boston Section was founded Feb 13, 1903, and serves more than 8,500 members of the IEEE. There are 29 chapters and affinity groups covering topics of interest from Aerospace & Electronic Systems, to Entrepreneur Network to Women in Engineering to Young Professionals. The chapters and affinity groups organize more than 100 meetings a year. In addition to the IEEE organization activities, the Boston Section organizes and sponsors up to seven conferences in any given year, as well as more than 45 short courses. The Boston Section publishes a bi-weekly newsletter and, currently, a monthly Digital Reflector newspaper included in IEEE membership.
The IEEE Boston Section also offers social programs such as the section annual meeting, Milestone events, and other non-technical professional activities to round out the local events. The Section also hosts one of the largest and longest running entrepreneurial support groups in IEEE.
More than 150 volunteers help create and coordinate events throughout the year.