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  • Simon Haykin
  • IEEE Journal on Selected Areas in Communications
  • 2005
Cognitive radio is viewed as a novel approach for improving the utilization of a precious natural resource: the radio electromagnetic spectrum. The cognitive radio, built on a software-defined radio, is defined as an intelligent wireless communication system that is aware of its environment and uses the methodology of understanding-by-building to learn from(More)
In this paper, we present a new nonlinear filter for high-dimensional state estimation, which we have named the cubature Kalman filter (CKF). The heart of the CKF is a spherical-radial cubature rule, which makes it possible to numerically compute multivariate moment integrals encountered in the nonlinear Bayesian filter. Specifically, we derive a(More)
The best ebooks about Neural And Adaptive Systems Fundamentals Through Simulations that you can get for free here by download this Neural And Adaptive Systems Fundamentals Through Simulations and save to your desktop. This ebooks is under topic such as neural and adaptive systems: fundamentals through neural and adaptive systems fundamentals through(More)
TURBO-BLAST is a novel multitransmit multireceive (MTMR) antenna scheme for high-throughput wireless communications. It exploits the following ideas: the Bell Labs layered space time (BLAST) architecture; random layered space-time (RLST) coding scheme by using independent block codes and random space-time interleaving; sub-optimal turbo-like receiver that(More)
| Spectrum sensing is the very task upon which the entire operation of cognitive radio rests. For cognitive radio to fulfill the potential it offers to solve the spectrum underutilization problem and do so in a reliable and computationally feasible manner, we require a spectrum sensor that detects spectrum holes (i.e., underutilized subbands of the radio(More)
In this paper, we describe a computationally efficient scheme for the nonlinear adaptive prediction of nonstationary signals whose generation is governed by a nonlinear dynamical mechanism. The complete predictor consists of two subsections: One performs a nonlinear mapping from the input space to an intermediate space with the aim of linearizing the input(More)
trical engineering, and biomedical informatics. In particular this book reflects the long-term continuous endeavors of a research group conducting innovatory research and could provide useful hints to novices in the related fields. The theory and practice of pattern recognition is a broad field, and the authors address one of the most important issues in(More)
In this paper, we extend the cubature Kalman filter (CKF) to deal with nonlinear state-space models of the continuous-discrete kind. To be consistent with the literature, the resulting nonlinear filter is referred to as the continuous-discrete cubature Kalman filter (CD-CKF). We use the Itô-Taylor expansion of order 1.5 to transform the process(More)