Prof. Uwe Meyer-Baese
Professor at Florida State Univ
SPIE Involvement:
Author | Instructor
Publications (62)

Proceedings Article | 2 April 2024 Poster + Paper
Proceedings Volume 12930, 129302L (2024) https://doi.org/10.1117/12.3008247
KEYWORDS: Brain, Control systems, Alzheimer disease, Matrices, Brain diseases, Dementia, Cognitive informatics, Feedback control, Dynamical systems, Calculus

Proceedings Article | 2 April 2024 Presentation + Paper
Proceedings Volume 12930, 129300P (2024) https://doi.org/10.1117/12.3006986
KEYWORDS: Brain, Dementia, Matrices, Brain diseases, Network architectures, Magnetic resonance imaging, Diseases and disorders, Biomedical engineering, Alzheimer disease, Reflection

Proceedings Article | 3 October 2022 Paper
Anke Meyer-Baese, Kerstin Juetten, Uwe Meyer-Baese, Andreas Stadlbauer, Thomas Kinfe, Chuh-Hyoun Na
Proceedings Volume 12204, 122040E (2022) https://doi.org/10.1117/12.2645973
KEYWORDS: Brain, Tumors, Anisotropy, Neural networks, Matrices, Magnetic resonance imaging, Image segmentation, Systems modeling, Stars, Sodium

Proceedings Article | 4 April 2022 Presentation + Paper
Proceedings Volume 12036, 1203615 (2022) https://doi.org/10.1117/12.2613255
KEYWORDS: Brain, Signal processing, Linear filtering, Dementia, Control systems, Filtering (signal processing), Bandpass filters, Alzheimer's disease, Fourier transforms, Electronic filtering

Proceedings Article | 12 April 2021 Presentation + Paper
Proceedings Volume 11731, 1173104 (2021) https://doi.org/10.1117/12.2588293
KEYWORDS: Data processing, Brain, Artificial intelligence, Neuroimaging, Image processing, Brain imaging, Diagnostics, Neurology, Medicine, Machine learning

Showing 5 of 62 publications
Conference Committee Involvement (11)
Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016
17 April 2016 | Baltimore, MD, United States
Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII
23 April 2015 | Baltimore, MD, United States
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII
7 May 2014 | Baltimore, MD, 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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