Results 161 to 170 of about 1,492,218 (202)
Some of the next articles are maybe not open access.
Fast additive noise steganalysis
SPIE Proceedings, 2004This 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
openaire +2 more sources
Multivalued SPDEs driven by additive space—time white noise and additive white noise
rose, 2001The 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
Blowup of parabolic equations with additive noise
Applied Mathematics Letters, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guangying Lv, Jinlong Wei
openaire +3 more sources
A normalization technique for non-additive noise
International Conference on Acoustics, Speech, and Signal Processing, 2002A 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 +2 more sources
Encoder-Assistance for Additive Noise Channels
2020 IEEE Information Theory Workshop (ITW), 2021Flash helping has recently been shown to be an effective technique for describing additive noise to a decoder. It is shown here to be effective also in assisting the encoder: it achieves the helper capacity on the single-user Gaussian channel, on the multiple-access Gaussian channel, on the Exponential channel, and on the discrete modulo-additive noise
Amos Lapidoth, Gian Marti
openaire +1 more source
Texture analysis and discrimination in additive noise
Computer Vision, Graphics, and Image Processing, 1990Abstract 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 +2 more sources
Speech recognition under additive noise
ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005In 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 +2 more sources
Additive Noise Destroys a Pitchfork Bifurcation
Journal of Dynamics and Differential Equations, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Crauel, Hans, Flandoli, Franco
openaire +4 more sources
Max Consensus in the Presence of Additive Noise
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018The 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 +2 more sources
Stability of the Tree of Shapes to Additive Noise
2021The 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 +3 more sources