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Water-pouring algorithm
Known as:
Water-pouring
The water-pouring algorithm is a technique used in digital communications systems for allocating power among different channels in multicarrier…
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Related topics
Related topics
3 relations
Broader (1)
Information theory
Signal-to-noise ratio
Water filling algorithm
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
A sequential path-planning methodology for wire and arc additive manufacturing based on a water-pouring rule
Xiaolong Wang
,
Aimin Wang
,
Yuebo Li
The International Journal of Advanced…
2019
Corpus ID: 164311777
Path planning has a crucial influence on the process stability and densification of wire and arc additive manufacturing (WAAM…
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2015
2015
Optimal Zero-Delay Jamming Over an Additive Noise Channel
E. Akyol
,
K. Rose
,
T. Başar
IEEE Transactions on Information Theory
2015
Corpus ID: 14144568
This paper considers the problem of optimal zero-delay jamming over an additive noise channel. Building on a sequence of recent…
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2013
2013
Information Rates of Densely Sampled Data: Distributed Vector Quantization and Scalar Quantization With Transforms for Gaussian Sources
D. Neuhoff
,
S. Pradhan
IEEE Transactions on Information Theory
2013
Corpus ID: 10847953
This paper establishes rates attainable by several lossy schemes for coding a continuous parameter source to a specified mean…
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2010
2010
A time-water-pouring based transmission power adaptation in MC-CDMA systems over Nakagami-m fading channels
Yizhi Feng
3rd IEEE International Conference on Broadband…
2010
Corpus ID: 14161197
In this paper, we propose a time-water-pouring based transmission power adaptation for multicarrier code-division multiple-access…
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2006
2006
Intrinsic Capacity of Random Scattered Spatial Communication
Leif Hanlen
,
Roy Timo
IEEE Information Theory Workshop - ITW '06…
2006
Corpus ID: 18509518
We consider information transfer under spatially constrained wireless communication through a scattered random environment. We…
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2005
2005
Differential quantization of eigenmodes for MIMO eigenmode transmission systems
S. Ting
,
K. Sakaguchi
,
K. Araki
IEEE Communications Letters
2005
Corpus ID: 5617044
In this letter, a generic quantization scheme for MIMO eigenmode transmission system in temporally and spatially correlated…
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2004
2004
A Gaussian input is not too bad
R. Zamir
,
U. Erez
IEEE Transactions on Information Theory
2004
Corpus ID: 16595363
We consider the problem of choosing a robust input for communicating over an input constrained additive-noise channel where the…
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2004
2004
Short-range wireless optical communication using pixilated transmitters and imaging receivers
S. Hranilovic
,
F. Kschischang
IEEE International Conference on Communications
2004
Corpus ID: 1252039
Short-range wireless optical channels provide high-data rate indoor links free of spectral licensing issues. In this work, we…
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Highly Cited
1995
Highly Cited
1995
MMSE decision-feedback equalizers and coding. II. Coding results
J. Cioffi
,
G. P. Dudevoir
,
M. Eyuboglu
,
G. Forney
IEEE Transactions on Communications
1995
Corpus ID: 23727430
For pt.I see ibid., vol.43, no.10, p.2582 (1995). The minimum-mean-squared-error decision-feedback equalizer (MMSE-DFE) has…
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Highly Cited
1989
Highly Cited
1989
The multitone channel
I. Kalet
IEEE Transactions on Communications
1989
Corpus ID: 12628269
The maximum bit rate of multitone QAM (quadrature amplitude modulation) over a general linear channel is found. First, the…
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