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Proceedings Paper

Carrier signal design using constrained iterative spectral deconvolution
Author(s): Abolfazl M. Amini
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Paper Abstract

To avoid interference and achieve spectral effectiveness one needs to calculate the spectra of the surroundings then form the basis function needed for modulation out of the clear portion of the spectrum. The calculation of the spectra over a short time as required for some applications could be problematic. These problems reveal themselves in the form of broadened spectral picks and tall side lobes. The solution to remove broadening effects and the side lobes proposed in this report and tested for some frequencies is the constrained iterative spectral deconvolution. In this report, we will provide the simulation results that indicate one period of the interfering signal is all that is need to successfully remove all side effects resulting from short time domain sampling of the environment.

Paper Details

Date Published: 9 April 2007
PDF: 8 pages
Proc. SPIE 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V, 65761C (9 April 2007); doi: 10.1117/12.716095
Show Author Affiliations
Abolfazl M. Amini, Southern Univ. (United States)


Published in SPIE Proceedings Vol. 6576:
Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V
Harold H. Szu; Jack Agee, Editor(s)

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