Cargando…
Capacity-Achieving Input Distributions of Additive Vector Gaussian Noise Channels: Even-Moment Constraints and Unbounded or Compact Support
We investigate the support of a capacity-achieving input to a vector-valued Gaussian noise channel. The input is subjected to a radial even-moment constraint and is either allowed to take any value in [Formula: see text] or is restricted to a given compact subset of [Formula: see text]. It is shown...
Autores principales: | Eisen, Jonah, Mazumdar, Ravi R., Mitran, Patrick |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453642/ https://www.ncbi.nlm.nih.gov/pubmed/37628210 http://dx.doi.org/10.3390/e25081180 |
Ejemplares similares
-
Amplitude Constrained Vector Gaussian Wiretap Channel: Properties of the Secrecy-Capacity-Achieving Input Distribution
por: Favano, Antonino, et al.
Publicado: (2023) -
Fourier analysis of unbounded measures on locally compact Abelian groups
por: Argabright, Loren, et al.
Publicado: (2005) -
Constraints on T-odd and P-even hadronic interactions from nucleon, nuclear, and atomic electric dipole moments
por: Haxton, W, et al.
Publicado: (1994) -
Unbounded-Time Safety Verification of Guarded LTI Models with Inputs by Abstract Acceleration
por: Cattaruzza, Dario, et al.
Publicado: (2020) -
The integration of Gaussian noise by long-range amygdala inputs in frontal circuit promotes fear learning in mice
por: Aime, Mattia, et al.
Publicado: (2020)