Sound propagation outdoors is strongly affected by atmospheric turbulence. Under strongly perturbed conditions or long propagation paths, the sound fluctuations reach their asymptotic behavior, e.g., the intensity variance progressively saturates. The present study evaluates the ability of a numerical propagation model based on the finite-difference time-domain solving of the linearized Euler e...

PREFACE 1.0 INTRODUCTION 2.0 BASIC CONCEPTS 2. I ECHO SIGNAL SINGLE TARGET 2.2 ECHO SIGNAL MULTIPLE TARGETS 2.3 CORRELATION 2.4 TIME AVERAGING 3.0 ABUNDANCE ESTIMATION 3.1 THICK SCATTERING LAYER 3.2 ENVELOPE SAMPLING 3.3 ENVELOPE INTEGRATION 3.4 THIN SCATTERING LAYER 3.5 VARIANCE ERROR THICK SCATTERING LAYER 3.6 VARIANCE ERROR THIN SCATTERING LAYER 4.0 SUMMARY 5.0 CONCLUSION APPENDIX A DISTRIBU...

This paper presents a new deterministic approximation technique in Bayesian networks. This method, “Expectation Propagation,” unifies two previous techniques: assumed-density filtering, an extension of the Kalman filter, and loopy belief propagation, an extension of belief propagation in Bayesian networks. Loopy belief propagation, because it propagates exact belief states, is useful for a limi...

The requirement for narrow linewidth lasers or short-loop propagation delay makes the realization of optical phase-lock loops using semiconductor lasers difficult. Although optical injection locking can provide low phase error variance for wide linewidth lasers, the locking range is restricted by stability considerations. Theoretical and experimental results for a system which combines both tec...

In this report, we study information propagation via inter-vehicle communication along two parallel roads. By identifying an inherent Bernoulli process, we are able to derive the mean and variance of propagation distance. A road separation distance of times the transmission range distinguishes two cases for approximating the success probability in the Bernoulli process. In addition, our results...

We present a simple modification to the idea of impact-based search which has proven highly effective for several applications. Impacts measure the average reduction in search space due to propagation after a variable assignment has been committed. Rather than considering the mean reduction only, we consider the idea of incorporating the variance in reduction. Experimental results show that usi...

Introduction: Frequency offset estimation is one of the most important task in OFDM receiver. Various frequency estimators have already been developed in the literature, including blind 、 semi-blind and data-aided algorithms. Showing great superiority in estimation accuracy、speed and complexity, data-aided algorithms attract much interest in recent years. The normalized frequency offset is usua...

In this paper the white-noise paraxial wave model is considered. This model describes for instance the propagation of laser beams in the atmosphere in some typical scaling regimes. The closed-form equations for the secondand fourth-order moments of the field are solved in two particular situations. The first situation corresponds to a random medium with a transverse correlation radius smaller t...