We consider the problem of coarsely managed multiple access wideband systems, where each user can control its own transmission power and rate, independent of other users’ actions, according to the policy specified by central controlling agent: base station. Even with such coarse coordination, multiuser detection enables a system superior to any orthogonal division system like TDMA. We fully cha...

Satellite scene classification is challenging because of the high variability inherent in satellite data. Although rapid progress in remote sensing techniques has been witnessed in recent years, the resolution of the available satellite images remains limited compared with the general images acquired using a common camera. On the other hand, a satellite image usually has a greater number of spe...

Direct sequence spread spectrum with its inherent resistance to multipath is a promising technique for indoor wireless communication. To allow multiple users within a limited bandwidth, code division multiple access (CDMA) is needed. This correspondence analyzes the bandwidth efficiency of M-ary CDMA systems in fading multipath indoor radio channels. It is shown that M-ary signaling improves th...

We examine a multiple-access communication system in which multiuser detection is performed without knowledge of the number of active interferers. Using a statistical-physics approach, we compute the single-user channel capacity and spectral efficiency in the large-system limit.

constrained noise-free CDMA channel is addressed. Multiuser cooperation is imperative if conventional demodulation is expected to be error free for non-orthogonal spreading sequences. It is found that for such a constraint the power distribution ensuring the most fruitful cooperation is that which assigns equal power to all users. As a result the asymptotic capacity and spectral efficiency are ...

Multi-spectral laser imaging is a technique that can offer a combination of the laser capability of accurate spectral sensing with the desirable features of passive multispectral imaging. The technique can be used for detection, discrimination, and identification of objects by their spectral signature. This article describes and reviews the development and evaluation of semiconductor multi-spec...

We present a new algorithm for spectral clustering based on a column-pivoted QR factorization that may be directly used for cluster assignment or to provide an initial guess for k-means. Our algorithm is simple to implement, direct, and requires no initial guess. Furthermore, it scales linearly in the number of nodes of the graph and a randomized variant provides significant computational gains...

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