IEEE Boston Section

COURSE DESCRIPTION Digital Signal Processing (DSP) for Software Radio First Video Release and Orientation, Thursday, January 19, 2023, 4:00PM – 4:30PM.  Additional videos released weekly in advance of that week’s live session! Live Workshops:  4:00PM – 5:30PM EST; Thursdays, January 26, February 2, 9, 16 and 23, 2023. Attendees will have access to the recorded session and exercises for two months (until April 25) after the live session ends!     IEEE Member Fee:  $190.00 Non-Member Fee:  $210.00 Decision to run/cancel course:  Monday, January 16, 2023 Speaker:  Dan Boschen 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 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! 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 routinely taught by Dan titled “Python Applications for Digital Design and Signal Processing”. All set-up information for installation of all tools used will be provided prior to the start of class. Target Audience: All engineers involved in or interested in signal processing for wireless communications. Students should have either taken the earlier course “DSP for Wireless Communications” or have been sufficiently exposed to basic signal processing concepts such as Fourier, Laplace, and Z-transforms, Digital filter (FIR/IIR) structures, and representation of complex digital and analog signals in the time and frequency domains. Please contact Dan at boschen@loglin.com if you are uncertain about your background or if you would like more information on the course. Benefits of Attending/ Goals of Course: Attendees will gain a strong intuitive understanding of the practical and common signal processing implementations found in modern radio and modem architectures and be able to apply these concepts directly to communications system design. Topics / Schedule: Class 1: DSP Review, Radio Architectures, Digital Mapping, Pulse Shaping, Eye Diagrams Class 2: ADC Receiver, CORDIC Rotator, Digital Down Converters, Numerically Controlled Oscillators Class 3: Digital Control Loops; Output Power Control, Automatic Gain Control Class 4: Digital Control Loops; Carrier and Timing Recovery, Sigma Delta Converters Class 5: RF Signal Impairments, Equalization and Compensation, Linear Feedback Shift Registers 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 and has taught courses on DSP to international audiences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/, and 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

Registration for this event:  https://bostonenet.org/events/fundraising-for-startups/

Attendees will have the option to join us in-person at Lasell University, Newton, MA or online via Zoom.

One of the most obvious and challenging key requirements for the success of an early-stage entrepreneurial company is developing your fundraising strategy and finding the right investment partners.

Join us Feb 7^th to hear from an expert panel of Angel, VC investors and CEOs raising funds.

This panel will focus on the nature of early-stage investments to plan for initial investment in your company.  The panelists will offer candid views and discussion on how to prepare a company for raising angel capital or seed stage investment, the raise itself, and how to work with angel, VC investor groups after getting the investment.

In-person Participation (check-in begins at 6:00 PM):

LOCATION: Science and Technology Center, Lasell University, Newton, MA, Room 210B. (google map: https://tinyurl.com/2twh785c) The address is 1844 Commonwealth Ave., but the entrance to the parking lot is on Central Street. Setting your GPS to 11 Central Street, Auburndale should help.

PARKING: Free parking is available. After arriving at the parking lot, take the steps on the right side of the brick building with large windows in front of you. At the top of the steps, you’ll see Donahue Plaza. Enter the building and walk straight. You should see our check-in table.

REFRESHMENTS: Pizza and sandwiches will be served.

Online Participation:  Zoom links will be sent to all registrants after registration.

COST AND RESERVATIONS: This event is free for ENET members and $10 for non-members. Click here to learn how to become a member. To expedite sign-in for the event, we ask that everyone — members as well as non-members — pre-register. If you cannot pre-register, you are welcome to register in person at the door while seats are available.

Agenda:

7:00 PM – Introduction, ENET Chairperson’s announcements

7:10 PM – eMinute Pitch, up to 3 Startup pitches

7:25 PM – Expert Panel, 4 expert speakers on the night’s topic

8:15 PM – Moderator and Audience Q & A with the speakers

8:30PM-9PM – Networking, panelists will be available afterward for responses to individual questions.

Speakers:

Jeff Stoler – Angel Investor and Corporate Lawyer. Founder, SideCar Angels

Jeff has been an active angel investor since the 1980s. He has made more than 100 investments over the years.  Jeff currently participates in all the major Boston angel groups, including Side Car Angels which he founded and co-manages.

Bruce Cohen – Venture Partner, Xeraya Capital. CEO, Anergent Pharmaceuticals

He was the founding President and CEO of Acacia Biosciences, Cellerant Therapeutics and VitaPath Genetics. He also served as CFO at GeneSoft Pharmaceuticals.

Previously, Bruce held senior positions in business development and marketing at Sequus Pharmaceuticals and at Baxter. As an independent consultant, Bruce has taken on interim management roles in public and private biotech companies, focusing on merger transactions and restructurings. He began his health care career managing federally funded programs to bring medical services to underserved populations and as a member of the founding team at the Cummings School of Veterinary Medicine. Bruce holds a BA and an MA from Tufts University, as well as an MBA with distinction from Harvard Business School.

Ryan Meyers – PhD, President and CEO, CranioSense

Ryan Myers, PhD, has nearly 15 years of experience bringing revolutionary life science technology from concept to reality with a strong record in medical devices that leverage a neurophysiology and neuroscience foundation.

Prior to joining CranioSense, Ryan was the VP of Product Strategy and Corporate Development at Vivonics, where he was awarded nearly $10 Million in non-dilutive government contracts as Principal Investigator within four years, managed the recruitment of over $20 Million of the same, and grew annual revenue from $2.5 Million to nearly $5 Million in under 2 years. Ryan is currently the CEO of CranioSense, a clinical stage, medical device startup poised to deliver the ‘holy grail of neurology’, a non-invasive means of assessing and monitoring intracranial hypertension.

Vicki Anastasi – Angel Investor, Boston Harbor Angels, Keiretsu Forum

Vicki Anastasi is an active Angel investor with Boston Harbor Angels and Keiretsu Forum. She is also a startup strategic advisor with over 30 years of experience in the medical device industry, with over 20 years specifically focused on global medical device and diagnostic strategic consulting.

Vicki has held senior management roles for medical device and therapeutic companies focused in orthopedics, cardiovascular/metabolic disease and combination products. In diagnostics, she held senior positions at companies involved in the development of infectious disease and genetic-based products including companion diagnostics and precision medicine.

Moderator & Organizers

Kristin King – MBA. Angel Investor, BHA. VP M&A, Defibtech Nihon Kohden.

Kristin is an accomplished MedTech executive, serial intrapreneur, investor and strategic advisor to startups developing biotech solutions. With over 20 years spanning technical, marketing, and proud member of Boston Harbor Angels, she offers multi-discipline expertise transforming technologies from early concept to successful global divisions at leading Medical Device companies and startups.

 

 

IEEE Boston/Providence/New Hampshire Reliability Chapter

Please visit www.ieee.org/bostonrel

FREE Webinar

The reliability and manufacturability of BGA devices is becoming more dependent on the PCB structure, layout and chassis design. With every increasing part densities the chassis design (PCB mounting), board layout, and underfills can cause additional stresses to be applied to the BGA device beyond just the thermal expansion mismatch. This presentation will cover some of the thermal-mechanical issues, manufacturing defects, and modeling techniques that can be used to help determine the reliability of BGA devices.

Location: This Webinar is to be delivered virtually.

At registration, you must provide a valid e-mail address to receive the Webinar Session link approximately 15 hours before the event. The link will only be sent to the e-mail address entered with your registration. Please double-check for spelling errors. If you haven’t received the e-mail as scheduled, please check your spam folder and alternate e- mail accounts before contacting the host.

Hosts Boston/Providence/New Hampshire Jt Sections,RL07

Michael W. Bannan, Chair

IEEE Boston/Providence/New Hampshire Reliability Chapter

Registration Starts 16 January 2023 12:00 AM Ends 07 February 2023 05:30 PM

All times are (GMT-05:00) US/Eastern No Admission Charge

Speaker:  Nathan Blattau of Ansys

Topic: BGA Reliability and Manufacturing Challenges

Agenda:

11:00 AM – Technical Presentation

11:45 AM – Questions and Answers

12:00 PM – Adjournment

The meeting is open to all. You do not need to belong to the IEEE to attend this event; however, we welcome your consideration of IEEE membership as a career enhancing technical affiliation.

There is no cost to register or attend, but registration is required.

COURSE DESCRIPTION

Digital Signal Processing (DSP) for Software Radio

First Video Release and Orientation, Thursday, January 19, 2023, 4:00PM – 4:30PM.  Additional videos released weekly in advance of that week’s live session!

Live Workshops:  4:00PM – 5:30PM EST; Thursdays, January 26, February 2, 9, 16 and 23, 2023.

Attendees will have access to the recorded session and exercises for two months (until April 25) after the live session ends!

 

 

IEEE Member Fee:  $190.00

Non-Member Fee:  $210.00

Decision to run/cancel course:  Monday, January 16, 2023

Speaker:  Dan Boschen

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 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!

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 routinely taught by Dan titled “Python Applications for Digital Design and Signal Processing”.

All set-up information for installation of all tools used will be provided prior to the start of class.

Target Audience:

All engineers involved in or interested in signal processing for wireless communications. Students should have either taken the earlier course “DSP for Wireless Communications” or have been sufficiently exposed to basic signal processing concepts such as Fourier, Laplace, and Z-transforms, Digital filter (FIR/IIR) structures, and representation of complex digital and analog signals in the time and frequency domains. Please contact Dan at boschen@loglin.com if you are uncertain about your background or if you would like more information on the course.

Benefits of Attending/ Goals of Course:

Attendees will gain a strong intuitive understanding of the practical and common signal processing implementations found in modern radio and modem architectures and be able to apply these concepts directly to communications system design.

Topics / Schedule:

Class 1: DSP Review, Radio Architectures, Digital Mapping, Pulse Shaping, Eye Diagrams

Class 2: ADC Receiver, CORDIC Rotator, Digital Down Converters, Numerically Controlled Oscillators

Class 3: Digital Control Loops; Output Power Control, Automatic Gain Control

Class 4: Digital Control Loops; Carrier and Timing Recovery, Sigma Delta Converters

Class 5: RF Signal Impairments, Equalization and Compensation, Linear Feedback Shift Registers

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 and has taught courses on DSP to international audiences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/, and 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

Digital Signal Processing (DSP) for Software Radio

First Video Release and Orientation, Thursday, January 19, 2023, 4:00PM – 4:30PM.  Additional videos released weekly in advance of that week’s live session!

Live Workshops:  4:00PM – 5:30PM EST; Thursdays, January 26, February 2, 9, 16 and 23, 2023.

Attendees will have access to the recorded session and exercises for two months (until April 25) after the live session ends!

 

 

IEEE Member Fee:  $190.00

Non-Member Fee:  $210.00

Decision to run/cancel course:  Monday, January 16, 2023

Speaker:  Dan Boschen

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 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!

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 routinely taught by Dan titled “Python Applications for Digital Design and Signal Processing”.

All set-up information for installation of all tools used will be provided prior to the start of class.

Target Audience:

All engineers involved in or interested in signal processing for wireless communications. Students should have either taken the earlier course “DSP for Wireless Communications” or have been sufficiently exposed to basic signal processing concepts such as Fourier, Laplace, and Z-transforms, Digital filter (FIR/IIR) structures, and representation of complex digital and analog signals in the time and frequency domains. Please contact Dan at boschen@loglin.com if you are uncertain about your background or if you would like more information on the course.

Benefits of Attending/ Goals of Course:

Attendees will gain a strong intuitive understanding of the practical and common signal processing implementations found in modern radio and modem architectures and be able to apply these concepts directly to communications system design.

Topics / Schedule:

Class 1: DSP Review, Radio Architectures, Digital Mapping, Pulse Shaping, Eye Diagrams

Class 2: ADC Receiver, CORDIC Rotator, Digital Down Converters, Numerically Controlled Oscillators

Class 3: Digital Control Loops; Output Power Control, Automatic Gain Control

Class 4: Digital Control Loops; Carrier and Timing Recovery, Sigma Delta Converters

Class 5: RF Signal Impairments, Equalization and Compensation, Linear Feedback Shift Registers

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 and has taught courses on DSP to international audiences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/, and 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