Mark Borgerding
Leibniz University Hannover(DE)
Publications by Year
Research Areas
Sparse and Compressive Sensing Techniques, Image and Signal Denoising Methods, Neural Networks and Applications, Manufacturing Process and Optimization, Microwave Imaging and Scattering Analysis
Most-Cited Works
- → AMP-Inspired Deep Networks for Sparse Linear Inverse Problems(2017)444 cited
- → Turning overlap-save into a multiband mixing, downsampling filter bank(2006)54 cited
- → Generalized approximate message passing for cosparse analysis compressive sensing(2015)22 cited
- Generalized Approximate Message Passing for the Cosparse Analysis Model.(2013)
- → Onsager-corrected deep learning for sparse linear inverse problems(2016)11 cited
- → Assembly Sequence Flexibility – Assembly Precedence Matrix-Based Evaluation Model(2025)3 cited
- Onsager-Corrected Deep Networks for Sparse Linear Inverse Problems.(2016)
- → Turning Overlap‐Save into a Multiband, Mixing, Downsampling Filter Bank(2012)3 cited