Prof. Uwe Meyer-Baese
Professor at Florida State Univ
SPIE Involvement:
Author | Instructor
Publications (58)

Proceedings Article | 12 April 2021 Presentation + Paper
Proc. SPIE. 11735, Pattern Recognition and Tracking XXXII
KEYWORDS: Transform theory, Pathogens

Proceedings Article | 12 April 2021 Presentation + Paper
Proc. SPIE. 11731, Computational Imaging VI
KEYWORDS: Medicine, Neurology, Image processing, Diagnostics, Data processing, Machine learning, Artificial intelligence, Neuroimaging, Brain imaging, Brain

Proceedings Article | 15 February 2021 Presentation + Paper
Proc. SPIE. 11600, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Diffusion, Alzheimer's disease, Dementia, Brain

Proceedings Article | 21 May 2020 Paper
Proc. SPIE. 11396, Computational Imaging V
KEYWORDS: Cancer, Data modeling, Tumors, Feature extraction, Medical imaging, Data processing, Machine learning, Artificial intelligence, Radiology, Brain

Proceedings Article | 21 May 2020 Paper
Proc. SPIE. 11400, Pattern Recognition and Tracking XXXI
KEYWORDS: Mathematical modeling, Proteins, Cognitive modeling, Magnetic resonance imaging, Diffusion, Control systems, Alzheimer's disease, Process modeling, Dementia, Brain

Showing 5 of 58 publications
Conference Committee Involvement (11)
Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016
17 April 2016 | Baltimore, Maryland, United States
Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII
23 April 2015 | Baltimore, Maryland, United States
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII
7 May 2014 | Baltimore, Maryland, United States
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI
1 May 2013 | Baltimore, Maryland, United States
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X
25 April 2012 | Baltimore, Maryland, United States
Showing 5 of 11 Conference Committees
Course Instructor
SC630: Digital Signal Processing with Field Programmable Gate Arrays
Field-programmable gate arrays (FPGAs) are on the verge of revolutionizing digital signal processing (DSP) in the manner that programmable digital signal processors (PDSPs) did nearly two decades ago. Many front-end digital signal processing algorithms, such as FFTs, FIR or IIR filters, previously built with ASICs or PDSPs, are now most often replaced by FPGAs. This short course introduces the fundamentals of designing DSP front-end algorithms with FPGAs to scientists and engineers using hardware description languages (VHDL or Verilog).
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