This paper considers spatial data z(s1); Z(s2); ; Z(sn) collected at n locations, with the objective of predicting z(s0) at another location. The usual method of analysis for this problem is kriging, but here we introduce a new signal-plus-noise model whose essential feature is the identi cation of hot spots. The signal decays in relation to distance from hot spots. We show that hot spots can b...

where Z = {Zn;n = 1, 2, . . .} is a non-degenerate, zero mean Gaussian process representing the noise and S = {Sn;n = 1, 2, . . .} and Y = {Yn;n = 1, 2, . . .} are stochastic processes representing input signals and output signals, respectively. The channel is with noiseless feedback, so Sn is a function of a message to be transmitted and the output signals Y1, . . . , Yn−1. The signal is subje...

Background: Speech perception ability depends on auditory and extra-auditory elements. The signal-to-noise ratio (SNR) is an extra-auditory element that has an effect on the ability to normally follow speech and maintain a conversation. Speech in noise perception difficulty is a common complaint of the elderly. In this study, the importance of SNR magnitude as an extra-auditory effect on speech...

this article presents a new subspace-based technique for reducing the noise ofsignals in time-series. in the proposed approach, the signal is initially representedas a data matrix. then using singular value decomposition (svd), noisy datamatrix is divided into signal subspace and noise subspace. in this subspace division,each derivative of the singular values with respect to rank order is used ...

Data pre-processing is challenging as it involves extensive manual effort and time, includes the process of noise removal referred as signal denoising or simply denoising. Noises present in signals are difficult to recover using the traditional methods. Now Wavelet Transform is used for denoising techniques. The implementation results reveal that the proposed technique achieves a state-of-the-a...

Background: Nowadays, image de-noising plays a very important role in medical analysis applications and pre-processing step. Many filters were designed for image processing, assuming a specific noise distribution, so the images which are acquired by different medical imaging modalities must be out of the noise. Objectives: This study has focused on the sequence filters which are selected ...

As a new attempt to solve hyperbolic conservation laws with spatially varying fluxes, the weighted essentially non-oscillatory (WENO) method is applied to solve a multi-class traffic flow model for an inhomogeneous highway. The numerical scheme is based upon a modified equivalent system that is written in a “standard” hyperbolic conservation form. Numerical examples, which include the difficult...

In this paper, we investigate the effect of output quantization on the secrecy capacity of the binary-input Gaussian wiretap channel. As a result, a closed-form expression with infinite summation terms of the secrecy capacity of the binary-input Gaussian wiretap channel is derived for the case when both the legitimate receiver and the eavesdropper have unquantized outputs. In particular, comput...

We analyze the decay Ds→φπ with QCD factorization in the heavy quark limit. The nonfactorizable contributions, including hard spectator contribution are discussed and numerical results are presented. Our predictions on the branching ratio of the decay are in agreement with the experiment. We also use a pure phenomenological method to estimate the branching ratio for Ds→φπ with the existed D0→K∗...

Abstract. We consider the problem of locating perfectly conducting cracks and estimating their geometric features from multi-static response matrix measurements at a single or multiple frequencies. A main objective is to design specific crack detection rules and to analyze their receiver operating characteristics and the associated signal-to-noise ratios. In this paper we introduce an analytic ...