Download e-book for iPad: Multimedia Communications by Ioannis Katsavounidis, C.-C. Jay Kuo, Z. Zhang (auth.),

By Ioannis Katsavounidis, C.-C. Jay Kuo, Z. Zhang (auth.), Francesco De Natale, Silvano Pupolin (eds.)

ISBN-10: 1447108590

ISBN-13: 9781447108597

ISBN-10: 1852331356

ISBN-13: 9781852331351

Multimedia Communications is on the center of the complex interactive providers that make up modern info Society. Videoconferencing, teleworking, teleshopping and video-on-demand will make the most of advancements in broadband and cellular telecommunication structures, clever multimedia terminals and electronic sign processing. the most recent examine findings from those fields are provided right here within the lawsuits of the tenth Tyrrhenian Workshop on electronic Communications, held in Ischia, Italy, September 19 ninety eight. concentration is put on the next 4 components: sign Processing for Multimedia Communications. Modeling, research and Simulation of Multimedia site visitors assets. entry recommendations. Multimode Multimedia Terminals. specifically, multimedia prone and functions are awarded. This accomplished number of papers will allow the reader to maintain speed with the swift alterations which are happening during this box. specialists have co-operated with best study facilities all over the world, on an educational and business point, to make this an up to date reference quantity for all those people who are enthusiastic about technological advances in Multimedia allotted Systems.

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O ... 0 h,(N - I) . h, (I ) h,(O)· . : o Oh;(N- I) · is the (k + 1) x (NF + N - M) matrix with the M-lag translated versions of the analysis filters. In coding applications, the subband coefficients y;(n) are actually quantized before the synthesis stage. The quantization operation can be modeled 21 by adding the quantization error to the subband coefficients, as shown in Fig. 1 for the case of a two-subband system . Thus , equation (1) has to be modified as x=Fz , (3) where % = y+ v and tI = [vo, ...

Top: no dither. Center: adaptive dither. Bottom: dither. ct. We describe multiple descriptio n transform coding (MDTe), a joint source-channel coding method for robust data communication. MOTe achieves robustness and graceful degradation in the presence of erasures by representing a source using several descriptions. Then, if one of t he descriptions is lost, we can reconstruct from those received. After the theo retical foundation is laid out, applications to robust audio and image transmission Me presented.

Once these row optimal fil ters are determined , the column reconstruction filters can be designed by mean square error minimization, leading to a linear system of equations. This second step requires a careful analysis of the second order statistics of the signals in the system, also taking into account the nont rivial effect of the previously designed row reconstruction filters. For the 2D fil ter design, we model the quantization noises tJ;j(m,n) in Fig. 5 as white uncorrelated random processes with variance Ll2/12.

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Multimedia Communications by Ioannis Katsavounidis, C.-C. Jay Kuo, Z. Zhang (auth.), Francesco De Natale, Silvano Pupolin (eds.)

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