Results 171 to 180 of about 1,492,218 (202)

Regularization by Additive Noise

2011
Although the final aim of these lectures is to understand the effect of noise on PDE, it is very important to investigate more and more the finite dimensional case. Even more basically, we have to understand how Brownianmotion regularizes functions, when it acts on them.
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

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, Goudail, François, Gaidon, Thierry, Guillaume, Mireille   +3 more
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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   +2 more sources

Lossy Compression of Images with Additive Noise

2005
Lossy compression of noise-free and noisy images differs from each other. While in the first case image quality is decreasing with an increase of compression ratio, in the second case coding image quality evaluated with respect to a noise-free image can be improved for some range of compression ratios.
Nikolay N. Ponomarenko, Vladimir V. Lukin, Mikhail Zriakhov, Karen O. Egiazarian, Jaakko Astola   +4 more
openaire   +1 more source

Microdata Protection through Noise Addition

2002
Microdata protection by adding noise is being discussed for more than 20 years now. Several algorithms were developed that have different characteristics. The simplest algorithm consists of adding white noise to the data. More sophisticated methods use more or less complex transformations of the data and more complex error-matrices to improve the ...
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Edit Constraints on Microaggregation and Additive Noise

2011
Privacy preserving data mining and statistical disclosure control propose several perturbative methods to protect the privacy of the respondents. Such perturbation can introduce inconsistencies to the sensitive data. Due to this, data editing techniques are used in order to ensure the correctness of the collected data before and after the anonymization.
Isaac Cano, Vicenç Torra
openaire   +2 more sources

Decoder-Assisted Communications Over Additive Noise Channels

IEEE Transactions on Communications, 2020
Gian Marti, Amos Lapidoth, Shraga Bross   +2 more
exaly  

Encoder-Assisted Communications Over Additive Noise Channels

IEEE Transactions on Information Theory, 2020
Gian Marti, Amos Lapidoth
exaly  

Worst-Case Additive Noise in Wireless Networks

IEEE Transactions on Information Theory, 2013
Ilan Shomorony, A Salman Avestimehr
exaly