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Estimating an accuracy spectrum from a linearly degraded and noisy data record is often desirable in infrared spectroscopy application. In this paper, we proposed a new framework which can estimate the desired spectrum and the instrument function simultaneously from the degraded data. Firstly, the instrument function is parametrically represented as a Lorentzian function for the first time. Then,...
Spectroscopic data often suffers from common problems of bands overlap and random Gaussian noise. Spectral resolution can be improved by mathematically removing the effect of the instrument response function (IRF). In this paper, a novelty model is proposed to deconvolute the measured spectrum with the sparsity regularization. The proposed model is solved by iteratively reweighted least square method...
In this contribution we investigate the spectral-efficiency of a two-hop cooperative network using multicarrier code-division multiple-access (MC-CDMA) transmission scheme. The two-hop network constitutes K source users transmitting signals to K destinations with the aid of N relays. Our focus is on the relay optimization, when assuming that the N relays cooperate or do not cooperate with each other...
One of the key tasks in cognitive radio (CR) system is to dynamically explore the spectrum and reliably detect the presence of primary users (PU). In this paper, we revisit several classical spectrum analysis methods, such as, weighted overlapped segment averaging (WOSA) approach, multi-taper spectral estimator (MTSE) and multiple signal classification (MUSIC) algorithm into wideband multiple primary...
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