[Back]


Talks and Poster Presentations (with Proceedings-Entry):

S. Schwarz, M. Rupp:
"Tree-structured quantization on Grassmann and Stiefel manifolds";
Talk: Data Compression Conference (DCC), Snowbird, Utah; 03-23-2021 - 03-26-2021; in: "Proc. of the 2021 Data Compression Conference", (2021), ISBN: 978-1-6654-0333-7; 1 - 5.



English abstract:
We propose novel tree-structured quantization approaches for points on Grassmann and Stiefel manifolds. Such manifold quantizers find application, e.g., for channel state information
quantization in limited feedback multiple-input multiple-output wireless communications. The proposed quantizers allow to trade-off quantization distortion for complexity by pruning the width of the quantization tree. We compare the rate-distortion performance and quantization complexity of the proposed quantizers to existing single stage and recursive multi stage quantizers, showing that the proposed methods lie in-between these two extremes.

Keywords:
quantization, Grassmann manifold, Stiefel manifold


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/DCC50243.2021.00038


Created from the Publication Database of the Vienna University of Technology.