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Cameron H. G. Wright
University of Wyoming
169Publications
15H-index
889Citations
Publications 169
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
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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.
#1Waleed Aleadelat (UW: University of Wyoming)H-Index: 1
#2Cameron H. G. Wright (UW: University of Wyoming)H-Index: 15
Last.Khaled Ksaibati (UW: University of Wyoming)H-Index: 9
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#1Waleed Aleadelat (UW: University of Wyoming)H-Index: 1
#2Khaled Ksaibati (UW: University of Wyoming)H-Index: 9
Last.Promothes Saha (UW: University of Wyoming)H-Index: 4
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Apr 1, 2018 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
A new generation of affordable infrared (IR) cameras provides both IR and visible images, which allows professors to introduce the concept of multispectral (and hyperspectral) signal processing in a particularly motivating way for students. We describe the use of a FLIR E60 camera in a graduate digital image processing course, in which IR and visible images were used as the basis for an open-ended final project in the course. We used both pre- and post-project questionnaires to confirm that the ...
#1Mickael Aghajarian (UW: University of Wyoming)H-Index: 1
#2John E. McInroy (UW: University of Wyoming)H-Index: 15
Last.Cameron H. G. Wright (UW: University of Wyoming)H-Index: 15
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The search for effective noise removal algorithms is still a real challenge in the field of image processing. An efficient image denoising method is proposed for images that are corrupted by salt-and-pepper noise. Salt-and-pepper noise takes either the minimum or maximum intensity, so the proposed method restores the image by processing the pixels whose values are either 0 or 255 (assuming an 8-bit/pixel image). For low levels of noise corruption (less than or equal to 50% noise density), the me...
#2Thad B. WelchH-Index: 15
Affordable infrared (IR) cameras provide a unique opportunity to motivate and enhance the education of engineering students. We used both IR and visible images from a FLIR E60 camera as an instructional vehicle in a digital image processing course, where students came from several engineering majors. These IR and visible images were used as the basis for an openended final project in the course. Assessment via both pre- and post-project questionnaires showed the project was a positive experience...
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...
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