Demo Data from EDBT 2026 / reviewers in the wild / expert
M. Flury
dblp:38/1385
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
code-division multiple access |
0.1 | 1 | 2006 | Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA Systems · IEEE Trans. Commun. 2006 |
Physical-layer communications
MIMO |
0.1 | 1 | 2006 | Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA Systems · IEEE Trans. Commun. 2006 |
Physical-layer communications › code-division multiple access
multicode CDMA |
0.1 | 1 | 2006 | Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA Systems · IEEE Trans. Commun. 2006 |
Physical-layer communications › equalization
space-time equalization |
0.1 | 1 | 2006 | Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA Systems · IEEE Trans. Commun. 2006 |
Physical-layer communications
interference suppression |
0.0 | 1 | 2006 | Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA Systems · IEEE Trans. Commun. 2006 |
Physical-layer communications
signal processing for communications |
0.0 | 1 | 2006 | Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA Systems · IEEE Trans. Commun. 2006 |
Methods — techniques the papers use, named apart from their topics
minimum mean-squared error · 0.1linear equalization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA SystemsabstractWe propose an enhanced chip-level linear space-time (ST) equalizer for multiple-input multiple-output (MIMO) multicode code-division multiple-access (CDMA) systems. In the MIMO multicode CDMA systems, the reuse of the same spreading codes in different transmit antennas significantly degrades the equalization performance if the ST equalizer uses a minimum mean-squared error (MMSE) weighting vector that minimizes the mean-squared error of the equalizer output chip sequence. As the CDMA despreader concatenated to an ST equalizer distorts interstream interference components differently from multipath interference and background noise components, the chip-level MMSE weighting vector usually steers in suboptimal directions in the signal space. Therefore, we propose a new MMSE weighting vector that takes the despreading effect into account in this paper. Simulation results show a substantial performance improvement through the new weighting vector. B.-H. Kim, M. Flury |
IEEE Trans. Commun. | 3 |