Data Synthesis Algorithms

Although for a binary system it is easy to model and correct this fact, when the number of sources increases or when extended sources are present on the sky, the correction of the modulation is not straightforward because in each spatial position there is the contribution of the dirty beam generated by each source present on the sky. For this reason, more complex data synthesis algorithms are required. 

It has been observed that instrumental artifacts appear at the dirty datacube. To reduce them, one can use interferometric data synthesis algorithms. Brute force... 

In this thesis the CLEAN algorithm is used for the data synthesis of Double Fourier Modulation data and is described in detail in Chap. 5. In general terms, it is basically a numerical deconvolving process applied in the 0x, 0y) domain. It is an iterative process, which consist of breaking down the intensity distribution into point source responses, and then replacing each one with the corresponding response to a clean beam, this is, a beam free of side lobes. 

D. T. Leisawitz, B.J. Frey, D.B. Leviton, A.J. Martino, W.L. Maynard, L.G. Mundy, S.A. Rinehart, S.H. Teng, X. Zhang, in Wide-field imaging interferometry testbed I purpose, testbed design, data, and synthesis algorithms, ed. by M. Shao. Society of Photo-Optical Instiumentation Engineers (SPIE) Conference Series, vol. 4852 of Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series (2003), pp. 255-267. doi 10.1117/12.460704... 

This work suggests novel materials to enhance the production of bioethanol from pulp and paper industry wastes. The extractant design problem is formulated mathematically to include process data and solvent properties tailored to the use of cellulosic waste substrates. The simulator is interfaced with available molecular design synthesis algorithms to search and select chemicals of desired and/or optimal performance. The materials designed herein can initiate more detailed analyses and laboratory experiments to validate and support the screening results. 

The user has to choose a style, pipelined or non-pipelined, for each processor. Different styles call for different synthesis algorithms. In a pipelined processor, a data instance enters the processor before the completion of previous instances. In a non-pipelined processor, on the other hand, a data instance has to wait for the completion of the previous data instance. 

HTS data as well as virtual screening can guide and direct the design of combinatorial libraries. A genetic algorithm (GA) can be applied to the generation of combinatorial libraries [18. The number of compounds accessible by combinatorial synthesis often exceeds the number of compounds which can be syiithcsii ed... 

A simple algorithm [17] makes it possible to find the probability of any fragment of macromolecules of Gordonian polymers. Comparison of these probabilities with the data obtained by NMR spectroscopy provides the possibility to evaluate the adequacy of a chosen kinetic model of a synthesis process of a particular polymer specimen. The above-mentioned probabilities are also involved in the expressions for the glass transition temperature and some structure-additive properties of branched polymers [18,19]. 

Physics-based synthesis can provide extremely high quality and expressivity in a very compact algorithm. Such computational models can provide extremely low bit rates at very high quality levels for certain sounds. In addition to data compression applications, such models can also provide a foundation for the future evolution of musical instruments, moving it from the real world of wood and metal into the virtual world where formerly impossible modifications are easily tried out. 

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