This paper is motivated by the pioneering work of Emanuel Parzen wherein he advanced the estimation of (spectral) densities via kernel smoothing and established the role of reproducing kernel Hilbert spaces (RKHS) in field of time series analysis. Here, we consider analysis of power (ANOPOW) for replicated time series collected in an experimental design where the main goals are to estimate, and...

We study the effect of a stochastic background of gravitational waves on the gravitational lensing of the Cosmic Microwave Background (CMB) radiation. It has been shown that matter density inhomogeneities produce a smoothing of the acoustic peaks in the angular power spectrum of the CMB anisotropies. A gravitational wave background gives rise to an additional smoothing of the spectrum. For the ...

This paper is an extension of our previous paper to improve the capability of detecting corners. We proposed a method of boundary smoothing for curvature estimation using a constrained regularization technique in the previous paper. We propose another approach to boundary smoothing for curvature estimation in this paper to improve the capability of detecting corners. The method is based on a mi...

In this paper, we describe the implementation of three noise estimation algorithms using two different wavelet decomposition methods: Second-generation and Perceptual wavelet packet transform. The three-presented algorithms are: (a) smoothing based adaptive noise estimation, (b) quantile based noise estimation and (c) minimum variance tracking-based noise estimation These algorithms, which do n...

Supervised channel estimation in OFDM systems typically consists in the interpolation/smoothing over the entire time-frequency grid of the channel gains estimated on the pilot subcarriers. In this process, only statistical informations about the propagation channel are exploited (i.e., Doppler spectrum and power-delay profile). We propose a novel technique that is based on a general parametric ...

At present, in the situation that wind power penetration is increasing year by year, use of a hybrid energy storage system (HESS) to smooth out fluctuations becomes an effective method. However, existing control strategy has problem inadequate utilization fluctuating power. In this paper, we propose for smoothing based on double Kalman filters with adaptive adjustment state charge (SOC). Firstl...