By Cesar F. Caiafa, Emanuele Salerno, Araceli N. Proto (auth.), Bruno Apolloni, Robert J. Howlett, Lakhmi Jain (eds.)
This ebook is a part of a three-volume set that constitutes the refereed complaints of the eleventh foreign convention on Knowledge-Based clever details and Engineering structures, KES 2007, held in Vietri sul Mare, Italy, September 2007. The 409 revised papers awarded have been rigorously reviewed and chosen from approximately 1,203 submissions. The papers current a wealth of unique study effects from the sector of clever info processing within the broadest sense.
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1 at different frequencies, linear grayscales. Left: 30 GHz map, angular resolution 33’. 2’. Right: 857 GHz map, angular resolution 5’. SNR = 10 dB. 3 Simulated Data Whereas the pixel-domain CCA is now being used to analyze real radioastronomical data, we are interested in evaluating the performance of FD-CCA as a function of perfectly controllable variables, such as noise, beamwidths, number of relevant sources, individual source emission spectra. For this reason, we are using simulated data. In particular, our data have been prepared by the Planck mission working group on diffuse component separation.
Sig. Proc. 15, 2437–2454 (2005) 4. : Separation of Correlated Astrophysical Sources Using Multiple-Lag Data Covariance Matrices. Eurasip J. Appl. Sig. Proc. 15, 2400–2412 (2005) 5. : Estimating the Spectral Indices of Correlated Astrophysical Foregrounds by a Second-Order Statistical Approach. Mon. Not. R. Astr. Soc. 373, 271–279 (2006) 6. : Multifrequency Wiener Filtering of Cosmic Microwave Background Data with Polarization. Mon. Not. R. Astr. Soc. 302, 663–676 (1999) 7. : Foreground Separation Methods for Satellite Observations of the Cosmic Microwave Background.
Finally, C(s(A)) has the task of estimating the error between the known sources correlation matrix and the estimated one. The parameters ωi , i = 1, 2, 3, and β reflect the strength of the imposed constraints. Note that to obtain the estimated sources, it is still necessary to minimize the energy function as required by (4) and (6). This minimization assures the smoothness of the solution. Thus, a smoothness term is omitted in the target function. , P − 1, (10) (11) 28 L. Fedeli, I. Gerace and F.