Results 11 to 20 of about 82,300 (309)
Additive Noise Induces Front Propagation [PDF]
4 pages, 5 ...
Clerc Gavilán, Marcel +2 more
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On Guessing Random Additive Noise Decoding [PDF]
We revisit guessing random additive noise decoding (GRAND) in discrete additive noise channels. We derive a non-asymptotic random coding bound using elementary tools, which is applicable to arbitrary noise guessing orders. We then use this bound to analyze a universal variant of GRAND, that does not require knowledge of the noise distribution, and show
Joudeh, Hamdi; id_orcid
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Rivers under Additive Noise [PDF]
Abstract We consider the deterministic and stochastic versions of a first order non-autonomous differential equation which allows us to discuss the persistence of rivers (“fleuves”) under additive noise.
Scheutzow, Michael, Grinfeld, Michael
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Additive Noise-Induced System Evolution (ANISE) [PDF]
Additive noise has been known for a long time to not change a systems stability. The discovery of stochastic and coherence resonance in nature and their analytical description has started to change this view in the last decades.
Axel Hutt
doaj +2 more sources
Fast additive noise steganalysis
This work reduces the computational requirements of the additive noise steganalysis presented by Harmsen and Pearlman. The additive noise model assumes that the stegoimage is created by adding a pseudo-noise to a coverimage. This addition predictably alters the joint histogram of the image.
Jeremiah J. Harmsen +2 more
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The porosity of additive noise sequences [PDF]
Consider a binary additive noise channel with noiseless feedback. When the noise is a stationary and ergodic process $\mathbf{Z}$, the capacity is $1-\mathbb{H}(\mathbf{Z})$ ($\mathbb{H}(\cdot)$ denoting the entropy rate). It is shown analogously that when the noise is a deterministic sequence $z^\infty$, the capacity under finite-state encoding and ...
Vinith Misra, Tsachy Weissman
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An Additive Approximation to Multiplicative Noise [PDF]
Multiplicative noise models are often used instead of additive noise models in cases in which the noise variance depends on the state. Furthermore, when Poisson distributions with relatively small counts are approximated with normal distributions, multiplicative noise approximations are straightforward to implement. There are a number of limitations in
Ruanui Nicholson, Jari P. Kaipio
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Cramer–Rao lower bounds for change points in additive and multiplicative noise [PDF]
The paper addresses the problem of determining the Cramer–Rao lower bounds (CRLBs) for noise and change-point parameters, for steplike signals corrupted by multiplicative and/or additive white noise. Closed-form expressions for the signal and noise CRLBs
Ferrari, André +2 more
core +1 more source
Effects of Additive Noise in Binaural Rendering of Spherical Microphone Array Signals
Additive noise produced by the recording hardware will contribute to streamed signals from spherical microphone arrays under practical conditions. For the application of binaural reproduction and under the assumption that the noise is uncorrelated ...
Alon, David Lou, +7 more
core +1 more source
Time-scale analysis of abrupt changes corrupted by multiplicative noise [PDF]
Multiplicative Abrupt Changes (ACs) have been considered in many applications. These applications include image processing (speckle) and random communication models (fading).
Chabert, Marie +5 more
core +1 more source

