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DTSTAMP:20240308T000246Z
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DTSTART;TZID=America/Los_Angeles:20240304T183000
DTEND;TZID=America/Los_Angeles:20240304T193000
DESCRIPTION:In a world full of rapid technological advancements\, primarily
  due to the information technology (IT) sector\, Signal Processing (SP) is
  integral. Defined as the manipulations and modifications of message-conve
 ying mediums such as sounds\, images\, videos\, and electromagnetic waves 
 to extract useful and usable information\, it has a solidified and well-es
 tablished mathematical foundation underneath. SP also serves as an invalua
 ble foundation to Machine Learning (ML)\, an increasingly demanding and ub
 iquitous topic. SP and ML often go together to produce intelligent and\nau
 tonomous systems.\nThis presentation will cover the importance of signal p
 rocessing in the IT section\, applications\, future prospects as well as w
 hat you need to succeed in the subfield of electrical engineering. It will
  also cover how classical implementation of SP or DSP can be vastly improv
 ed by complementing it with ML modules.\n\nSpeaker(s): Mr. Samnangdona An\
 , \n\nRoom: VEC325\, 1331 Palo Verde Avenue\, Electrical Engineering Depar
 tment\, Long Beach\, California\, United States\, 90840
LOCATION:Room: VEC325\, 1331 Palo Verde Avenue\, Electrical Engineering Dep
 artment\, Long Beach\, California\, United States\, 90840
ORGANIZER:henry.yeh@csulb.edu
SEQUENCE:2
SUMMARY:Signal Processing and Machine Learning with Intelligent Application
 s
URL;VALUE=URI:https://events.vtools.ieee.org/m/409439
X-ALT-DESC:Description: <br /><p>In a world full of rapid technological adv
 ancements\, primarily due to the information technology (IT) sector\,&nbsp
 \;Signal Processing (SP) is integral. Defined as the manipulations and mod
 ifications of message-conveying mediums such&nbsp\;as sounds\, images\, vi
 deos\, and electromagnetic waves to extract useful and usable information\
 , it has a solidified and&nbsp\;well-established mathematical foundation u
 nderneath. SP also serves as an invaluable foundation to Machine Learning&
 nbsp\;(ML)\, an increasingly demanding and ubiquitous topic. SP and ML oft
 en go together to produce intelligent and<br>autonomous systems.<br>This p
 resentation will cover the importance of signal processing in the IT secti
 on\, applications\, future prospects as well&nbsp\;as what you need to suc
 ceed in the subfield of electrical engineering. It will also cover how cla
 ssical implementation of&nbsp\;SP or DSP can be vastly improved by complem
 enting it with ML modules.</p>
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