Signal Processing - January 2017 - 82
SP education
Hana Godrich
Students' Design Project Series: Sharing Experiences
T
he fast pace of technology refresh
offers new opportunities in engineering training and education. Undergraduate engineering programs are
seeking the right balance between theory
and practice, as students are increasingly
expected to have more knowledge of
cutting-edge technologies along with the
fundamental understanding of engineering concepts and modeling tools.
Instructors constantly look for opportunities to enrich the learning experience
through demonstrations and hands-on
experience to address a growing demand
from the industry for engineers with
"know‐how" skills. This can be accomplished through traditional channels such
as instructional laboratories, independent
study, and research activities or, alternatively, through student design project
programs. In the United States, many
universities and colleges have programs
for senior design projects in place, also
referred to as capstone projects. These
engineering projects are an assimilation
of knowledge and capabilities built over
the first three years in undergraduate
studies and, in many cases, are deeply
reliant on signal and information processing expertise.
A background in signal and information processing is fundamental to
many engineering applications, yet it
is gradually built through a sequence
of engineering courses that bring stuDigital Object Identifier 10.1109/MSP.2016.2620157
Date of publication: 11 January 2017
82
dents in their senior year to a position
where it can be applied successfully.
Low-cost, multifeature computer platforms, being developed at an outstanding rate, alongside open-source
software, offer implementation capabilities like never before. The availability of high-performance, low-cost,
and small footprint single-board computers and microcontrollers systems
presents versatile building blocks that
can be used by the students based on
their individual interests and applied
in multidisciplinary projects. As an
example, Raspberry Pi [1] was introduced to the market in 2012 and has
since gone through three generations
with the latest being Raspberry Pi
3B. In a mere 8.56 # 5.65-cm package, a weight of 45 g, and a price tag
of US$35, Raspberry Pi 3B offers a
1.2-GHz 64-bit Quad Core ARM Cortex-A53 central processing unit (CPU)
with 1 GB of memory, on-board network Ethernet, wireless and Bluetooth,
17 GPIO general-purpose input/output
(GPIO) and more. A smaller version of
it was introduced in May 2016 in the
form of Raspberry Pi Zero, offering a
1-GHz CPU with 512 MB of memory
and 40 GPIO for US$5 in a 6.5 cm
# 3 cm package and a weight of 9 g.
Intel's Edison computer module [2], a
wide range of Arduino products [3], and
Texas Instruments [4] introduce similar
opportunities, to name a few. These popular products are accompanied by large
selection of add-ons, built-in libraries,
IEEE Signal Processing Magazine
|
January 2017
|
interplatform computability, and open
source software that support the development of diverse, signal and information
processing-based applications in the Internet of things, wearables, three-dimensional printing, autonomous vehicles,
drones, biomedical devices, and more.
Embedded systems such as smartphones, smart watches, and healthtracking wristbands, are part of our
daily lives and, at times, offer a more narrow application use and limited resources. They are commonly used in telecom/
datacom, automation, military, medical, and automotive applications. Some
companies open their systems to the research and development of new applications. Google released the source code
for Google Glass [5], declaring it as an
open-to-hackers platform. Apple provides access to its sensory system and
enables turning an iPhone into a medical diagnostic device through Apple
Research Kit [6]. iRobot released the
Create 2 Programmable robot [7], an
open-sourced electronics prototyping
platform that enables integration of
sensory systems and microcomputers.
These are a few examples in a growing
trend with exciting possibilities for students and developers by gaining access
to hardware and software tools that can
be manipulated for varies applications
in computer vision, robotics, machine
learning, cybersecurity, biomedical, and
biometrics, to name a few.
This progress in affordable and accessible hardware and software tools can
1053-5888/17©2017IEEE
Table of Contents for the Digital Edition of Signal Processing - January 2017
Signal Processing - January 2017 - Cover1
Signal Processing - January 2017 - Cover2
Signal Processing - January 2017 - 1
Signal Processing - January 2017 - 2
Signal Processing - January 2017 - 3
Signal Processing - January 2017 - 4
Signal Processing - January 2017 - 5
Signal Processing - January 2017 - 6
Signal Processing - January 2017 - 7
Signal Processing - January 2017 - 8
Signal Processing - January 2017 - 9
Signal Processing - January 2017 - 10
Signal Processing - January 2017 - 11
Signal Processing - January 2017 - 12
Signal Processing - January 2017 - 13
Signal Processing - January 2017 - 14
Signal Processing - January 2017 - 15
Signal Processing - January 2017 - 16
Signal Processing - January 2017 - 17
Signal Processing - January 2017 - 18
Signal Processing - January 2017 - 19
Signal Processing - January 2017 - 20
Signal Processing - January 2017 - 21
Signal Processing - January 2017 - 22
Signal Processing - January 2017 - 23
Signal Processing - January 2017 - 24
Signal Processing - January 2017 - 25
Signal Processing - January 2017 - 26
Signal Processing - January 2017 - 27
Signal Processing - January 2017 - 28
Signal Processing - January 2017 - 29
Signal Processing - January 2017 - 30
Signal Processing - January 2017 - 31
Signal Processing - January 2017 - 32
Signal Processing - January 2017 - 33
Signal Processing - January 2017 - 34
Signal Processing - January 2017 - 35
Signal Processing - January 2017 - 36
Signal Processing - January 2017 - 37
Signal Processing - January 2017 - 38
Signal Processing - January 2017 - 39
Signal Processing - January 2017 - 40
Signal Processing - January 2017 - 41
Signal Processing - January 2017 - 42
Signal Processing - January 2017 - 43
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Signal Processing - January 2017 - 45
Signal Processing - January 2017 - 46
Signal Processing - January 2017 - 47
Signal Processing - January 2017 - 48
Signal Processing - January 2017 - 49
Signal Processing - January 2017 - 50
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Signal Processing - January 2017 - 58
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Signal Processing - January 2017 - 60
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Signal Processing - January 2017 - 63
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Signal Processing - January 2017 - 65
Signal Processing - January 2017 - 66
Signal Processing - January 2017 - 67
Signal Processing - January 2017 - 68
Signal Processing - January 2017 - 69
Signal Processing - January 2017 - 70
Signal Processing - January 2017 - 71
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Signal Processing - January 2017 - 73
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Signal Processing - January 2017 - 82
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Signal Processing - January 2017 - 85
Signal Processing - January 2017 - 86
Signal Processing - January 2017 - 87
Signal Processing - January 2017 - 88
Signal Processing - January 2017 - 89
Signal Processing - January 2017 - 90
Signal Processing - January 2017 - 91
Signal Processing - January 2017 - 92
Signal Processing - January 2017 - 93
Signal Processing - January 2017 - 94
Signal Processing - January 2017 - 95
Signal Processing - January 2017 - 96
Signal Processing - January 2017 - 97
Signal Processing - January 2017 - 98
Signal Processing - January 2017 - 99
Signal Processing - January 2017 - 100
Signal Processing - January 2017 - 101
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Signal Processing - January 2017 - Cover3
Signal Processing - January 2017 - Cover4
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