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Stationary and Related Stochastic Processes
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Digital simulation of random processes and its applications
Masanobu Shinozuka,C.-M. Jan +1 more
TL;DR: In this article, the authors presented an efficient method for digital simulation of general homogeneous processes as a series of cosine functions with weighted amplitudes, almost evenly spaced frequencies, and random phase angles.
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The intrinsic random functions and their applications
TL;DR: The intrinsic random functions (IRF) are a particular case of the Guelfand generalized processes with stationary increments and constitute a much wider class than the stationary RF, and are used in practical applications for representing nonstationary phenomena as discussed by the authors.
Book
Multi-Carrier Digital Communications: Theory and Applications of OFDM
Ahmad Bahai,Burton R. Saltzberg +1 more
TL;DR: This book offers a unified presentation of OFDM theory and high speed and wireless applications, in particular, ADSL, wireless LAN, and digital broadcasting technologies are explained.
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Collaborative beamforming for distributed wireless ad hoc sensor networks
TL;DR: The performance of collaborative beamforming is analyzed using the theory of random arrays and it is shown that with N sensor nodes uniformly distributed over a disk, the directivity can approach N, provided that the nodes are located sparsely enough.
Journal ArticleDOI
A Bayesian analysis of kriging
TL;DR: In this paper, the best linear unbiased prediction procedure within a Bayesian framework was proposed for Gaussian random fields in a way that appropriately dealt with uncertainty in the covariance function.