Results 141 to 150 of about 2,417 (172)

Avoidance of singular point in reversible KLT

28th Picture Coding Symposium, 2010
In this report, permutation of order and sign of signals are introduced to avoid singular point problem of a reversible transform. When a transform is implemented in the lifting structure, it can be "reversible" in spite of rounding operations inside the transform. Therefore it has been applied to lossless coding of digital signals.
Masahiro Iwahashi, Hitoshi Kiya
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Maccone third KLT theorem: Asymptotic KLT of GBM

2012
Geometric Brownian motion (GBM) (also known as exponential Brownian motion) is a continuous time stochastic process in which the logarithm of the randomly varying quantity follows a Brownian motion. It is used in mathematical finance to model stock prices in the Black–Scholes model (see http://en.wikipedia.org/wiki/ Geometric_Brownian_motion).
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Forward adaptive KLT coding

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
A framework for implementing the forward adaptive Karhunen-Loeve Transform (FAKLT) is described. Unlike backward adaptive methods, FAKLT computes transform coefficients using basis vectors derived from the most recent signal frame. As a result, it exhibits improved energy compaction compared to the backward adaptive KLT. The method encodes only the KLT
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A simple introduction to the KLT and BAM-KLT

2012
This chapter is a simple introduction about using the Karhunen–Loeve Transform (KLT) to extract weak signals from noise of any kind. In general, the noise may be colored and over wide bandwidths, and not just white and over narrow bandwidths. We show that the signal extraction can be achieved by the KLT more accurately than by the Fast Fourier ...
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Implementing the KLT

2010
SETI-Italia is an observing program led by the INAF-IRA (Istituto Nazionale di Astrofisica - Istituto di Radioastronomia). At present, Italy is the only European country conducting a SETI (Search for Extraterrestrial Intelligence) program. Occasional SETI searches may be conducted at the Nanacy French Kraus type radiotelescope and some artificial ...
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Maccone first KLT theorem: KLT of all timerescaled Brownian motions

2012
In Section 21.4 the problem of finding the KL expansion of standard Brownian motion was solved completely. That was possible because the differential equation for the eigenfunctions was just a simple harmonic oscillator equation, whose solution is trivial.
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On the relationships between SVD, KLT and PCA

Pattern Recognition, 1981
Abstract In recent literature on digital image processing much attention is devoted to the singular value decomposition (SVD) of a matrix. Many authors refer to the Karhunen-Loeve transform (KLT) and principal components analysis (PCA) while treating the SVD.
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Variétés klt projectivement plates

2021
In the context of uniformisation problems, we study projective varieties with klt singularities whose cotangent sheaf admits a projectively flat structure over the smooth locus. Generalising work of Jahnke-Radloff, we show that torus quotients are the only klt varieties with semistable cotangent sheaf and extremal Chern classes. An analogous result for
Greb, Daniel, Kebekus, Stefan, Peternell, Thomas   +2 more
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Maccone second KLT theorem: KLT of all time-rescaled square Brownian motions

2012
A surprising feature of the KL expansion obtained in Chapter 22 is that the same analytical solution valid for the X(t) process can be carried over to the X2(t) process. In other words, to keep within the easy framework of standard Brownian motion B(t), if we know the KL expansion of B(t), then we may also find the KL expansion of B2(t).
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Data-independent low-complexity KLT approximations for image and video coding

Signal Processing: Image Communication, 2022
Thiago L T DA SILVEIRA, Fabio M Bayer, Renato J Cintra   +2 more
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