Results 31 to 40 of about 128,325 (262)
Hiding digital image watermarking in a sound signal using Wavelet Transform and Singular Value Decomposition [PDF]
The outgrowing of multimedia applications in communications network brought about an increasing need to provide qualified methods to protect these media and secure communication. These methods include encryption and information hiding.
Alyaa Abdul Majeed Haleem, AlAA Zakaria
doaj +1 more source
Design of Hybrid Precoder for mm-Wave MIMO System Based on Generalized Triangular Decomposition Method [PDF]
Hybrid precoding techniques are lately involved a lot of interest for millimeter-wave (mmWave) massive MIMO systems is due to the cost and power consumption advantages they provide.
Sammaiah Thurpati +1 more
doaj +1 more source
Error bound of the multilevel adaptive cross approximation (MLACA) [PDF]
An error bound of the multilevel adaptive cross approximation (MLACA 1, which is a multilevel version of the adaptive cross approximation-singular value decomposition (ACA-SVD), is rigorously derived.
Cao, Qunsheng +4 more
core +2 more sources
The main objective for a watermarking technique is to attain imperceptibility, robustness and security against various malicious attacks applied by illicit users. To fulfil these basic requirements for a scheme is a big issue of concern.
Priyank Khare, Vinay Kumar Srivastava
doaj +1 more source
SVD-matching using SIFT features
The paper tackles the problem of feature points matching between pair of images of the same scene. This is a key problem in computer vision. The method we discuss here is a version of the SVD-matching proposed by Scott and Longuet-Higgins and later modified by Pilu, that we elaborate in order to cope with large scale variations.
DELPONTE E +3 more
openaire +5 more sources
Principal component analysis and its generalizations for any type of sequence (PCA-Seq)
In the 1940s, Karhunen and Loève proposed a method for processing a one-dimensional numeric time series by converting it into multidimensional by shifts. In fact, a one-dimensional number series was decomposed into several orthogonal time series.
V. M. Efimov +2 more
doaj +1 more source
A Randomized Tensor Train Singular Value Decomposition
The hierarchical SVD provides a quasi-best low rank approximation of high dimensional data in the hierarchical Tucker framework. Similar to the SVD for matrices, it provides a fundamental but expensive tool for tensor computations. In the present work we
Huber, Benjamin +2 more
core +1 more source
Blockwise SVD with error in the operator and application to blind deconvolution [PDF]
We consider linear inverse problems in a nonparametric statistical framework. Both the signal and the operator are unknown and subject to error measurements.
Delattre, S. +3 more
core +3 more sources
SVD approach to data unfolding [PDF]
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Höcker, Andreas +1 more
openaire +2 more sources
Christian Witness and Proclamation through Migration
People are constantly on the move, more so now than ever before. Crossing international borders is defi-nitely a major characteristic of our present era.
vănThanh Nguyễn, SVD
doaj +1 more source

