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The Additive Noise Channel with a Helper

2019 IEEE Information Theory Workshop (ITW), 2019
The additive noise channel is studied in the presence of a helper who observes the noise and can describe it to the receiver over a rate-limited noise-free bit-pipe. It is shown that the capacity of this network is typically the sum of the capacity of the channel in the absence of the helper and the capacity of the bit-pipe from the helper to the ...
Shraga I. Bross, Amos Lapidoth
openaire   +1 more source

Multivalued SPDEs driven by additive space—time white noise and additive white noise

rose, 2001
The authors prove the existence and uniqueness theorem for the multivalued quasi-linear parabolic stochastic partial differential equation \[ \partial Y(x,t)/\partial t=\partial^2 Y(x,t)/\partial x^2 + f(x,t,Y(x,t))+\partial^2 W(x,t)/\partial x\partial t+K(x,t), \] \[ Y(x,0)=Y_0,\qquad Y(0,t) =Y(1,t)=0, \] where \((Y,K)\) is a solution of the ...
Eddahbi, M., Ouknine, Y.
openaire   +2 more sources

A normalization technique for non-additive noise

International Conference on Acoustics, Speech, and Signal Processing, 2002
A normalization technique leading to a constant false alarm receiver in the cases where noise and signal are not additive is presented. The algorithm presented is mainly based on a log transform followed by a fixed and adaptive sorting. Some results obtained on a real signal (neutron noise) are given.
Dominique Garreau, Michel Bouvet
openaire   +1 more source

Texture analysis and discrimination in additive noise

Computer Vision, Graphics, and Image Processing, 1990
Abstract Texture feature extraction and discrimination in an additive noise environment is considered. A new set of 28 texture features derived in the spatial frequency domain is presented. A successive addition and deletion feature selection scheme based on the Wilks criterion is used to obtain a subset of features which effectively discriminate ...
Song-Sheng Liu, M. E. Jernigan
openaire   +1 more source

Additivity of noise propagation in a protein cascade

The Journal of Chemical Physics, 2008
Stochastic fluctuations in a protein synthetic cascade are investigated using standard Ω-expansion technique. For the steady-state sensitivity, we show the conditions that result in the ultrasensitive “all-or-none” behavior, and for the noise propagation, we show clearly that (i) for any one given protein species in this cascade, the contributions of ...
Xiudeng, Zheng, Yi, Tao
openaire   +2 more sources

Autoregressive spectral estimation in additive noise

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
The estimation of the spectral density function \(\Phi\) (\(\lambda)\) of a discrete-parameter stationary Gaussian autoregressive (AR) process \(\{X_ n\}^{\infty}_{n=-\infty}\) from a finite set \(\{Y_ n\}^ N_{n=1}\) of noisy observations \(\{Y_ n=X_ n+W_ n\}^{\infty}_{n=-\infty}\) is considered. A modified spectral estimator \({\hat \Phi}_ N(\lambda)\)
Donald F. Gingras, Elias Masry
openaire   +1 more source

Speech recognition under additive noise

ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
In this paper we present a study on the performance of a speaker-dependent continuous speech recognition algorithm in various background noise levels, including the mismatch tolerance of the algorithm. This mismatch exists in most applications where the user is trained in one noise level and does the recognition in different and highly variable noise ...
Chin-Hui Lee, Kalyan Genesan
openaire   +1 more source

Stability of the Tree of Shapes to Additive Noise

2021
The tree of shapes (ToS) is a famous self-dual hierarchical structure in mathematical morphology, which represents the inclusion relationship of the shapes (\textiti.e. the interior of the level lines with holes filled) in a grayscale image. The ToS has already found numerous applications in image processing tasks, such as grain filtering, contour ...
Boutry, Nicolas, Tochon, Guillaume
openaire   +2 more sources

Max Consensus in the Presence of Additive Noise

2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
The analysis of a distributed consensus algorithm for estimating the maximum of the node initial state values in a network is considered in the presence of communication noise. Conventionally, the maximum is estimated by updating the node state value with the largest received measurements in every iteration at each node.
Gowtham Muniraju   +4 more
openaire   +1 more source

Non-additive noise and optimal correlation

Proceedings of 3rd IEEE International Conference on Image Processing, 2002
The optimal detection and location of a target in a scene in presence of non-additive noise is studied. The optimal processors in the maximum likelihood sense are determined for different white or correlated noise statistics. It is shown that the required computations are mainly correlations, and that there is no need of iterative methods.
Réfrégier, Philippe   +3 more
openaire   +2 more sources

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