On the existence and construction of good codes with low peak-to-average power ratios

By Kenneth G. Paterson, Vahid Tarokh. 2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060), 2000

302 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b3473cbe5f605d5cd273c72f09343797e4aeb104

How researchers see this paper

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

In Artificial Intelligence

1. Hamid Jafarkhani
2. Seshadri Mohan
3. Vahid Tarokh
4. Yasir Rahmatallah
5. Mai H. Vu
6. Arogyaswami Paulraj

In Electrical and Electronic Engineering

1. Hamid Jafarkhani
2. Seshadri Mohan
3. Yasir Rahmatallah
4. Vahid Tarokh
5. Bertrand M. Hochwald
6. Ran Gozali
7. Babak Hassibi
8. Wim Sweldens

Citations in the corpus

• Peak-To-Average Power Ratio Reduction in OFDM Systems: A Survey And Taxonomy (2013, background): “Specifically, [189] shows that the IFFT of the codewords of this code exhibits low envelope fluctuations and therefore low PAPR.”
• On the computation and reduction of the peak-to-average power ratio in multicarrier communications (2000, methodology): “Some constructions are also given in [8], [17], and [ 18 ]; however, due to the level of difficulty of this problem, progress has been scant.”