Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio

By Dongsoo Lee, Daehyun Ahn, Taesu Kim, Pierce I-Jen Chuang, Jae-Joon Kim. 2018

17 citations recorded by the source corpus.

Subfields: Efficiency & Compression

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Efficiency & Compression

1. Medhi Bennis
2. Jihong Park
3. Merouane Debbah
4. Sumudu Samarakoon

Citations in the corpus

• Wireless Network Intelligence at the Edge (2018, methodology): “Exploiting the Viterbi algorithm is useful for this purpose, guaranteeing a constant maximum compression rate [202].”