ICA based algorithms for computing optimal 1-D linear block transforms in variable high-rate source coding

The Karhunen–Loève Transform (KLT) is optimal for transform coding of Gaussian sources, however, it is not optimal, in general, for non-Gaussian sources. Furthermore, under the high-resolution quantization hypothesis, nearly everything is known about the performance of a transform coding system with...

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Vydané v:	Signal processing Ročník 88; číslo 2; s. 268 - 283
Hlavní autori:	Narozny, Michel, Barret, Michel, Pham, Dinh-Tuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.02.2008 Elsevier Science Elsevier
Predmet:	Applied sciences Coding, codes Computer Science Detection, estimation, filtering, equalization, prediction Engineering Sciences Exact sciences and technology Image compression Independent component analysis Information, signal and communications theory Mathematics Miscellaneous Non-Gaussian signals Optimization and Control Sampling, quantization Signal and communications theory Signal and Image Processing Signal processing Signal, noise Telecommunications and information theory Transform coding Non-Gaussian signals Image compression Transform coding Independent component analysis Performance evaluation High resolution Karhunen Loeve transformation Source coding Grey level image Image processing Data compression Entropy Orthogonality Algorithm Varying speed Image quality Image coding Signal quantization Gaussian signal Linear transformation Signal processing Optimal code Discrete cosine transforms Signal to noise ratio
ISSN:	0165-1684, 1872-7557
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