2023
DOI: 10.1016/j.heliyon.2023.e13929
|View full text |Cite
|
Sign up to set email alerts
|

Wigner distribution function approach to analyze MIMO communication within a waveguide

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 13 publications
0
3
0
Order By: Relevance
“…These environments actively encourage interaction, allowing students to participate in experiments, simulations, and collaborative activities, enhancing their grasp of scientific principles. Notably, the Metaverse's accessibility is a standout feature, transcending geographical constraints and extending its reach to a diverse student population, including those in remote or underserved regions [62]. the metaverse framework for education is illustrated by Zhang et al [31], likely in Figure 3.…”
Section: Resultsmentioning
confidence: 99%
“…These environments actively encourage interaction, allowing students to participate in experiments, simulations, and collaborative activities, enhancing their grasp of scientific principles. Notably, the Metaverse's accessibility is a standout feature, transcending geographical constraints and extending its reach to a diverse student population, including those in remote or underserved regions [62]. the metaverse framework for education is illustrated by Zhang et al [31], likely in Figure 3.…”
Section: Resultsmentioning
confidence: 99%
“…The concept of WD was first introduced by E. Wigner in 1932 in the context of quantum mechanics [1]; approximately fifteen years later, it was employed by J. Ville [2] in the study of non-stationary signals, and then explored by L. Cohen [3][4][5][6], B. Boashash [7][8][9], L. Stanković [10][11][12], G. Folland [13], and P. Korn [14] from the perspective of time-frequency analysis. As one of the most important time-frequency analysis techniques, the WD has found many applications in communication, seismic signal analysis, radar, sonar, image processing, and optical signals processing [15][16][17][18][19][20]. For a function f ∈ L 2 (R N ), its WD is defined by…”
Section: Introductionmentioning
confidence: 99%
“…In the meantime, potentiometric methods using ion-selective electrodes have emerged as a replacement as they offer significant advantages over these techniques, such as portability, low cost and real-time analysis. [20][21][22] The potentiometric method, an environmentally friendly analytical technique, has the advantage over the costly and complex analytical methods that it is fast, inexpensive, portable and economical. However, changing the electrode surface can affect the low sensitivity or selectivity and the undesirable detection limits.…”
Section: Introductionmentioning
confidence: 99%