Digital Signal Processing (DSP) For Wireless Communications

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Fall 2018 Course

Dates: Thursday, October 11, 18, 25, November 1, 8

Time: 6 – 9 pm

Decision date: Thursday, October 11, 2018

Early Registration Date deadline: Thursday, September 27, 2018

Before Early Registration Date:
Members $340
Non-members $375

After Early Registration Date:
Members $375
Non-members $440

WHERE: Crowne Plaza Hotel
15 Middlesex Canal Park Drive
Woburn, MA 01801
USA

Phone 781-245-5405
email sec.boston@ieee.org
Fax 781-245-5406

If paying by check, the check must be received before the appropriate dates for Early Registration and Decision Dates.

Make Checks payable and send to:
IEEE Boston Section
One Centre Street, Suite 203
Wakefield, MA 01880

Speaker: Dan Boschen, Microsemi

Course Overview:

DSP For Wireless Communications

Course Summary:

This course is a fresh view of the fundamental concepts of digital signal processing most applicable to practical real world problems and applications in radio communication systems. This course will build an intuitive understanding of the underlying mathematics through the use of graphics, visual demonstrations, and real world 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.

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 communications system design. With this, attendees will be able to implement more creative and efficient signal processing architectures in both the analog and digital domains.

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, Multirate Signal Processing, Multi-rate Filters

Speaker’s Bio:

Dan Boschen has a MS in Communications and Signal Processing from Northeastern University, with over 20 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: