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Michael G. Morrow
University of Wisconsin-Madison
54Publications
11H-index
281Citations
Publications 54
Newest
May 1, 2019 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Cameron H. G. Wright (UW: University of Wyoming)H-Index: 15
#2Thad B. Welch (BSU: Boise State University)H-Index: 15
Last.Michael G. Morrow (UW: University of Wisconsin-Madison)H-Index: 11
view all 3 authors...
After many years of practicing, reading and writing about signal processing education, we have observed some common themes. This paper discusses the trade-off of simulation versus the use of real-time processing on real-world signals as a motivator for signal processing students. A real-time DSP demonstration accompanies the presentation of this paper.
Mar 1, 2017 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Cameron H. G. Wright (UW: University of Wyoming)H-Index: 15
#2Thad B. Welch (BSU: Boise State University)H-Index: 15
Last.Michael G. Morrow (UW: University of Wisconsin-Madison)H-Index: 11
view all 3 authors...
Today there is a global need for engineers who are “DSP literate.” An obvious solution for supplying this need is to educate the next generation of DSP engineers. To do this, several powerful and highly versatile options are available. Real-time or quasi-real-time systems can be implemented using, for example, microprocessors, FPGAs, dedicated DSP hardware, general-purpose processors, graphical processing units, or smartphones. This paper discusses our efforts over the years using various dedica...
Mar 1, 2016 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Cameron H. G. Wright (UW: University of Wyoming)H-Index: 15
#2Thad B. Welch (BSU: Boise State University)H-Index: 15
Last.Michael G. Morrow (UW: University of Wisconsin-Madison)H-Index: 11
view all 3 authors...
The challenge of teaching practical optical engineering in a single course can be overcome by taking advantage of existing student knowledge of signal processing concepts. Such an approach greatly facilitates student mastery of new topics. This paper describes how professors can use this technique to efficiently teach optical engineering.
#1Cameron H. G. Wright (UW: University of Wyoming)H-Index: 15
#2Thad B. Welch (BSU: Boise State University)H-Index: 15
Last.Michael G. Morrow (UW: University of Wisconsin-Madison)H-Index: 11
view all 3 authors...
Students who are learning fundamental principles of optical engineering can take advantage of existing knowledge of digital signal processing to greatly facilitate mastery of the new topics. This paper describes how professors can take advantage of this opportunity.
#1Cameron WrightH-Index: 3
#2Thad B. WelchH-Index: 15
Last.Michael G. MorrowH-Index: 11
view all 3 authors...
Engineering educators teaching digital signal processing (DSP) have found that using hands-on exercises for students can smooth the transition from theory to practical real-time DSP. However, before significant learning can begin using such exercises, students must build their confidence in the hardware and software platforms. When using audio signals, a “talk-through” project accomplishes this. For introducing more complicated signals such as video, the authors propose the use of a “seethrough”...
May 1, 2014 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Adrian Rothenbuhler (HP: Hewlett-Packard)H-Index: 1
#2Cameron H. G. Wright (UW: University of Wyoming)H-Index: 15
Last.Michael G. Morrow (UW: University of Wisconsin-Madison)H-Index: 11
view all 4 authors...
Engineering educators have found that students making the transition to real-time digital signal processing (DSP) from the more comfortable world of off-line processing using MATLAB must establish confidence in the hardware and software platform before significant learning can begin. In the audio realm, a talk-through project accomplishes this. For moving on to a more complicated signal such as video, the authors propose the use of a see-through project. A description of a see-through project on...
#1Carl J. Watras (UW: University of Wisconsin-Madison)H-Index: 30
#2Michael G. Morrow (UW: University of Wisconsin-Madison)H-Index: 11
Last.Timothy K. Kratz (UW: University of Wisconsin-Madison)H-Index: 46
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Here, we describe and evaluate two low-power wireless sensor networks (WSNs) designed to remotely monitor wetland hydrochemical dynamics over time scales ranging from minutes to decades. Each WSN (one student-built and one commercial) has multiple nodes to monitor water level, precipitation, evapotranspiration, temperature, and major solutes at user-defined time intervals. Both WSNs can be configured to report data in near real time via the internet. Based on deployments in two isolated wetlands...
Last.Michael G. MorrowH-Index: 11
view all 3 authors...
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