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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation
Published in ICASSP, 2022
Deep Augmented MUSIC (DA-MUSIC) is hybrid model-based/data-driven DoA estimation architecture, based on the classical multiple signal classification (MUSIC) algorithm.
J. P. Merkofer, G. Revach, N. Shlezinger, and R. J. G. van Sloun, “Deep augmented music algorithm for data-driven DoA estimation,” IEEE Internatioal Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022.
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm
Published in Preprint, 2023
J. P. Merkofer, G. Revach, N. Shlezinger, T. Routtenberg, and R. J. G. van Sloun, “DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm,” Preprint, 2023.
A Review of Machine Learning Applications for the Proton Magnetic Resonance Spectroscopy Workflow
Published in Magn Reson Med., 2023
D. M. J. van de Sande, J. P. Merkofer, S. Amirrajab, M. Veta, R. J. G. van Sloun, M. J. Versluis, J. F. A. Jansen, J. S. van den Brink, M. Breeuwer, “A Review of Machine Learning Applications for the Proton Magnetic Resonance Spectroscopy Workflow,” Magn Reson Med., 2023;1-18. doi: 10.1002/mrm.29793.
Deep Root MUSIC Algorithm for Data-Driven DoA Estimation
Published in ICASSP, 2023
Deep Root MUSIC (DR‑MUSIC) augments the classical Root‑MUSIC algorithm with a neural model applied to the empirical autocorrelation matrix to improve performance under source coherence, low SNR, and snapshot limitations.
D. H. Shmuel, J. P. Merkofer, G. Revach, R. J. G. van Sloun, and N. Shlezinger, “Deep Root MUSIC Algorithm for Data‑Driven DoA Estimation,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation
Published in Preprint, 2023
D. H. Shmuel, J. P. Merkofer, G. Revach, R. J. G. van Sloun, and N. Shlezinger, “SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation,” Preprint, 2023.
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.