We use the technique of wavelet analysis to quantitatively investigate the role of solar variability in forcing terrestrial climate change on solar cycle timescales (roughly 11 years). We examine the connection between mean annual solar irradiance, as reconstructed from sunspot and isotope records, and the climate, as proxied by two Northern Hemisphere surface air temperature reconstructions. B...

In this paper, the inverse problem of reconstructing reflectivity function of a medium is examined within a blind deconvolution framework. The ultrasound pulse is estimated using higher-order statistics, and Wiener filter is used to obtain the ultrasonic reflectivity function through wavelet-based models. A new approach to the parameter estimation of the inverse filtering step is proposed in th...

this article proposes a direct method for solving three types of integral equations with time delay. by using operational matrix of integration, integral equations can be reduced to a linear lower triangular system which can be directly solved by forward substitution. numerical examples shows that the proposed scheme have a suitable degree of accuracy.

BACKGROUND Middle latency auditory evoked responses (MLAER) as a measure of depth of sedation are critically dependent on data quality and the analysis technique used. Manual peak labeling is subject to observer bias. This study investigated whether a user-independent index based on wavelet transform can be derived to discriminate between awake and unresponsive states during propofol sedation. ...

Quantum inequalities (QI’s) provide lower bounds on the averaged energy density of a quantum field. We show how the QI’s for massless scalar fields in even dimensional Minkowski space may be reformulated in terms of the positivity of a certain self-adjoint operator—a generalized Schrödinger operator with the energy density as the potential—and hence as an eigenvalue problem. We use this idea to...

This paper presents a high order modulation scheme for IR-UWB systems. For 8-ary modulation, we combine pulse position modulation (PPM), pulse amplitude modulation (PAM), and pulse shape modulation (PSM), which are well-established schemes for IR-UWB. The transmitter and receiver architectures of the proposed system, we call PPASM, are provided. In addition, we propose the use of complex Shanno...

In this paper, we characterize the symbol in Hörmander symbol class S m ρ,δ (m ∈ R, ρ, δ ≥ 0) by its wavelet coefficients. Consequently, we analyse the kernel-distribution property for the symbol in the symbol class S m ρ,δ (m ∈ R, ρ > 0, δ ≥ 0) which is more general than known results; for non-regular symbol operators, we establish sharp L 2-continuity which is better than Calderón and Vaillan...

In this paper, we propose a novel wavelet-based-CMAC (WCMAC) network for predictive image coding. The Gaussian functions of traditional CMAC are replaced by wavelet functions. In addition, properties and advantages of fuzzy TSK-model are used to modify the activation functions of CMAC for obtaining high approximation accuracy and convergent rate. The WCMAC is employed to predict differential pu...

The most commonly used deconvolution (Decon) method is based on minimum-phase assumption for the wavelet which is often not valid. Explosive energy source is close to minimum-phase which makes seismic data with explosive somewhat amenable to predictive Decon though the result is imperfect in phase. Decon of Vibroseis data is more problematic because the wavelet in a correlated Vibroseis trace i...