By E. M. Lifshitz, V. B. Berestetskii, L. P. Pitaevskii
Author note: Translated from the russian via J. B. Sykes and J. S. Bell
Pulbish 12 months note: First released in 1981
-------------------------
Several major additions were made to the second one version, together with the operator approach to calculating the bremsstrahlung cross-section, the calcualtion of the chances of photon-induced pair creation and photon decay in a magnetic
field, the asymptotic kind of the scattering amplitudes at excessive energies, inelastic scattering of electrons by way of hadrons, and the transformation of electron-positron pairs into hadrons.
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U. Fecker and A. Kaup, Statistical analysis of multi-reference block matching for dynamic light field coding, Proceedings of the 10th International Fall Workshop Vision, Modeling, and Visualization (VMV 2005), pp. 445–452, Akademische Verlagsgesellschaft Aka GmbH, Erlangen, Germany, Nov. 2005. 43. K. Mueller, P. Merkle, A. Smolic and T. Wiegand, Multiview Coding using AVC, ISO/IEC JTC1/SC29/WG11, MPEG2006/m12945, Bangkok, Thailand, Jan. 2006. 44. H. Nakamura, K. Suehiro and M. Ueda, The output order and the decoder picture buffer management for MVC, JVT-T129, 20th meeting, Klagenfurt, Austria, 15–21 July 2006.
We start the ranking of the sound categories having as key taxonomic feature the sound source and we split the root node of Sound to the Bioacoustic and Inanimate category. , wind, rain, breaking of glass, etc). The second level of ranking concerns the source origin of the sound emission. The Bioacoustic category is split into the speech category (human vocalizations due to their vast applications have a category of their own) and the non-human but of biological origin. The Inanimate category is composed of the sub-categories of machine, musical instruments and sounds from natural phenomena.
G. S. Lim, End to end rate distortion optimised MD mode selection for multiple description video coding, EURASIP Journal of Applied Signal Processing, vol. 2006, Article ID 32592, pp. 1–12. 18. W. J. Maeder and N. Bergmann, A perceptually based quantization technique for MPEG encoding. In Human Vision and Electronic Imaging III, pp. 148–159. Proceedings of SPIE, vol. 3299, 1998. 19. K. Ramchandran, A. Ortega and M. Vetterli, Bit allocation for dependent quantization with applications to multiresolution and MPEG video coders, IEEE Transactions on Image Processing, vol.