Home > Research > Publications & Outputs > Information capacity of additive white gaussian...

Research

Links

Text available via DOI:

Keywords

View graph of relations

Information capacity of additive white gaussian noise channel with practical constraints

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Information capacity of additive white gaussian noise channel with practical constraints. / Honary, Bahram; Ali, F.; Darnell, M.
In: IEE Proceedings - Communications, Vol. 137, No. 5, 1990, p. 295-302.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Honary, B, Ali, F & Darnell, M 1990, 'Information capacity of additive white gaussian noise channel with practical constraints', IEE Proceedings - Communications, vol. 137, no. 5, pp. 295-302. https://doi.org/10.1049/ip-i-2.1990.0041

APA

Honary, B., Ali, F., & Darnell, M. (1990). Information capacity of additive white gaussian noise channel with practical constraints. IEE Proceedings - Communications, 137(5), 295-302. https://doi.org/10.1049/ip-i-2.1990.0041

Vancouver

Honary B, Ali F, Darnell M. Information capacity of additive white gaussian noise channel with practical constraints. IEE Proceedings - Communications. 1990;137(5):295-302. doi: 10.1049/ip-i-2.1990.0041

Author

Honary, Bahram ; Ali, F. ; Darnell, M. / Information capacity of additive white gaussian noise channel with practical constraints. In: IEE Proceedings - Communications. 1990 ; Vol. 137, No. 5. pp. 295-302.

Bibtex

@article{971749380e8c46018bbcf63e0e410b40,
title = "Information capacity of additive white gaussian noise channel with practical constraints",
abstract = "The paper describes the determination of the additive white Gaussian noise channel information transmission capacity when the channel input and output are limited by certain constraints. The channel input constraints are those of signal amplitude, or signal amplitude and average power. The input signal amplitude and average power constraints are defined by restricting the channel input to values within the finite interval [—A, + A] and also to have average power equal to some specified value. The channel output constraint is that of signal clipping due to quantisation applied at the receiver. The input signal amplitude/output signal clipping constrained capacity, and the input signal amplitude and average power/output signal clipping constrained capacity are determined separately. It is found that there are unique, optimum and discrete input signal amplitude distributions, taking a finite number of values, and optimum output signal clippings that achieve these capacity values. The optimum input distribution values are also used to determine the optimum amplitude probability density function at the channel output.",
keywords = "information theory, white noise, channel capacity ",
author = "Bahram Honary and F. Ali and M. Darnell",
year = "1990",
doi = "10.1049/ip-i-2.1990.0041",
language = "English",
volume = "137",
pages = "295--302",
journal = "IEE Proceedings - Communications",
issn = "1350-2425",
publisher = "Institute of Electrical Engineers",
number = "5",

}

RIS

TY - JOUR

T1 - Information capacity of additive white gaussian noise channel with practical constraints

AU - Honary, Bahram

AU - Ali, F.

AU - Darnell, M.

PY - 1990

Y1 - 1990

N2 - The paper describes the determination of the additive white Gaussian noise channel information transmission capacity when the channel input and output are limited by certain constraints. The channel input constraints are those of signal amplitude, or signal amplitude and average power. The input signal amplitude and average power constraints are defined by restricting the channel input to values within the finite interval [—A, + A] and also to have average power equal to some specified value. The channel output constraint is that of signal clipping due to quantisation applied at the receiver. The input signal amplitude/output signal clipping constrained capacity, and the input signal amplitude and average power/output signal clipping constrained capacity are determined separately. It is found that there are unique, optimum and discrete input signal amplitude distributions, taking a finite number of values, and optimum output signal clippings that achieve these capacity values. The optimum input distribution values are also used to determine the optimum amplitude probability density function at the channel output.

AB - The paper describes the determination of the additive white Gaussian noise channel information transmission capacity when the channel input and output are limited by certain constraints. The channel input constraints are those of signal amplitude, or signal amplitude and average power. The input signal amplitude and average power constraints are defined by restricting the channel input to values within the finite interval [—A, + A] and also to have average power equal to some specified value. The channel output constraint is that of signal clipping due to quantisation applied at the receiver. The input signal amplitude/output signal clipping constrained capacity, and the input signal amplitude and average power/output signal clipping constrained capacity are determined separately. It is found that there are unique, optimum and discrete input signal amplitude distributions, taking a finite number of values, and optimum output signal clippings that achieve these capacity values. The optimum input distribution values are also used to determine the optimum amplitude probability density function at the channel output.

KW - information theory

KW - white noise

KW - channel capacity

U2 - 10.1049/ip-i-2.1990.0041

DO - 10.1049/ip-i-2.1990.0041

M3 - Journal article

VL - 137

SP - 295

EP - 302

JO - IEE Proceedings - Communications

JF - IEE Proceedings - Communications

SN - 1350-2425

IS - 5

ER -