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DTSTAMP:20220428T200102Z
UID:43E4E5DC-AA9A-481F-9868-1A3A4338B3BC
DTSTART;TZID=US/Eastern:20220421T180000
DTEND;TZID=US/Eastern:20220421T193000
DESCRIPTION:[COURSE DESCRIPTION](https://ieeeboston.org/event/digital-signa
 l-processing-webinar/?instance_id=3245)\n\nFirst Video Release\, Friday\, 
 April 1\, 2022\, additional videos released weekly in advance of that week
 ’s live session!\n\nLive Workshops: 6:00PM – 7:30PM EDT\, Thursdays\, 
 April 7\, 14\, 21\, 28\, May 5\n\nAttendees will have access to the record
 ed session and exercises for two months (until July 5) after the live sess
 ion ends!\n\nNew Format Combining Live Workshops with Pre-recorded Video\n
 \nThis 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&amp;A/Workshop sessions with the instructor. Ten 1.5 hour videos releas
 ed 2 per week while the course is in session will be available for up to t
 wo months after the conclusion of the course.\n\nCourse Summary\n\nThis co
 urse 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 s
 ignal processing. This course will build an intuitive understanding of the
  underlying mathematics through the use of graphics\, visual demonstration
 s\, and applications in GPS and mixed signal (analog/digital) modern trans
 ceivers. This course is applicable to DSP algorithm development with a foc
 us on meeting practical hardware development challenges in both the analog
  and digital domains\, and not a tutorial on working with specific DSP pro
 cessor hardware.\n\nThis long-running IEEE Course has been updated to incl
 ude Jupyter Notebooks which incorporates graphics together with Python sim
 ulation code to provide a “take-it-with-you” interactive user experien
 ce. No knowledge of Python is required but the notebooks will provide a ba
 sic framework for proceeding with further signal processing development us
 ing that tools for those that have interest in doing so.\n\nThis course wi
 ll not be teaching Python\, but using it for demonstration. A more detaile
 d course on Python itself is covered in a separate IEEE Course “Python A
 pplications for Digital Design and Signal Processing”.\n\nStudents will 
 be encouraged but not required to load all the Python tools needed\, and a
 ll set-up information for installation will be provided prior to the start
  of class.\n\nSpeaker(s): Dan Boschen \, \n\nAgenda: \nFirst Video Release
 \, Friday\, April 1\, 2022\, additional videos released weekly in advance 
 of that week’s live session!\n\nLive Workshops: 6:00PM – 7:30PM EDT\, 
 Thursdays\, April 7\, 14\, 21\, 28\, May 5\n\nAttendees will have access t
 o the recorded session and exercises for two months (until July 5) after t
 he live session ends!\n\nVirtual: https://events.vtools.ieee.org/m/301539
LOCATION:Virtual: https://events.vtools.ieee.org/m/301539
ORGANIZER:k.safina@ieee.org
SEQUENCE:12
SUMMARY:Digital Signal Processing for Wireless Communications (DSP) – Web
 inar Course
URL;VALUE=URI:https://events.vtools.ieee.org/m/301539
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;a href=&quot;https://ieeeboston.org/event/digi
 tal-signal-processing-webinar/?instance_id=3245&quot;&gt;&lt;strong&gt;COURSE DESCRIPTIO
 N&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;\n&lt;p&gt;First Video Release\, Friday\, April 1\, 2022\, add
 itional videos released weekly in advance of that week&amp;rsquo\;s live sessi
 on!&lt;/p&gt;\n&lt;p&gt;Live Workshops:&amp;nbsp\; 6:00PM &amp;ndash\; 7:30PM EDT\, Thursdays\
 , April 7\, 14\, 21\, 28\, May 5&lt;/p&gt;\n&lt;p&gt;Attendees will have access to the
  recorded session and exercises for two months (until July 5) after the li
 ve session ends!&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;New Format Combining Live Workshops with 
 Pre-recorded Video&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;This is a hands-on course providing pr
 e-recorded lectures that students can watch&amp;nbsp\;&lt;strong&gt;on their own sch
 edule&lt;/strong&gt;&amp;nbsp\;and&amp;nbsp\;&lt;strong&gt;an unlimited number of times&lt;/stron
 g&gt;&amp;nbsp\;prior to live Q&amp;amp\;A/Workshop sessions with the instructor. Ten
  1.5 hour videos released 2 per week while the course is in session will b
 e available for up to two months after the conclusion of the course.&lt;/p&gt;\n
 &lt;p&gt;&lt;strong&gt;Course Summary&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;This course is a fresh view of 
 the fundamental and practical concepts of digital signal processing applic
 able to the design of mixed signal design with A/D conversion\, digital fi
 lters\, operations with the FFT\, and multi-rate signal processing. &amp;nbsp\
 ;This course will build an&amp;nbsp\;&lt;strong&gt;intuitive&lt;/strong&gt;&amp;nbsp\;understa
 nding of the underlying mathematics through the use of graphics\, visual d
 emonstrations\, and applications in GPS and mixed signal (analog/digital) 
 modern transceivers. This course is applicable to DSP algorithm developmen
 t with a focus on meeting practical hardware development challenges in bot
 h the analog and digital domains\, and not a tutorial on working with spec
 ific DSP processor hardware.&lt;/p&gt;\n&lt;p&gt;This long-running IEEE Course has bee
 n updated to include Jupyter Notebooks which incorporates graphics togethe
 r with&amp;nbsp\;&lt;strong&gt;Python simulation code&amp;nbsp\;&lt;/strong&gt;to provide a &amp;l
 dquo\;take-it-with-you&amp;rdquo\; interactive user experience. No knowledge o
 f 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.&lt;/p&gt;\n&lt;p&gt;This course will not be tea
 ching Python\, but using it for demonstration. A more detailed course on P
 ython itself is covered in a separate IEEE Course &amp;ldquo\;Python Applicati
 ons for Digital Design and Signal Processing&amp;rdquo\;.&lt;/p&gt;\n&lt;p&gt;Students wil
 l 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 sta
 rt of class.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;First Video Release\, Friday\
 , April 1\, 2022\, additional videos released weekly in advance of that we
 ek&amp;rsquo\;s live session!&lt;/p&gt;\n&lt;p&gt;Live Workshops:&amp;nbsp\; 6:00PM &amp;ndash\; 7
 :30PM EDT\, Thursdays\, April 7\, 14\, 21\, 28\, May 5&lt;/p&gt;\n&lt;p&gt;Attendees w
 ill have access to the recorded session and exercises for two months (unti
 l July 5) after the live session ends!&lt;/p&gt;
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