منابع مشابه
Adaptive Piecewise Polynomial Estimation via Trend Filtering
We study trend filtering, a recently proposed tool of Kim et al. (2009) for nonparametric regression. The trend filtering estimate is defined as the minimizer of a penalized least squares criterion, in which the penalty term sums the absolute kth order discrete derivatives over the input points. Perhaps not surprisingly, trend filtering estimates appear to have the structure of kth degree splin...
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The problem of estimating the kernel mean in a reproducing kernel Hilbert space (RKHS) is central to kernel methods in that it is used by classical approaches (e.g., when centering a kernel PCA matrix), and it also forms the core inference step of modern kernel methods (e.g., kernel-based non-parametric tests) that rely on embedding probability distributions in RKHSs. Previous work [1] has show...
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Elimination of additive noise from a speech signal is a fundamental problem in audio signal processing. In this paper we restrict our considerations to the case where only a single microphone recording of the noisy signal is available. The algorithms which we investigate proceed in two steps: First, the noise power spectrum is estimated. A method based on temporal quantiles in the power spectra...
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Recently, an iterative filtering algorithm has been proposed in the literature for estimating the frequencies of the sinusoids at low signal.to-noise ratios. In this paper, we study the performance of this algorithm for the real sinusoidal signals and suggest the use of a better autoregressive parameter estimation method for filter design. We also make some comments about the convergence behavi...
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ژورنال
عنوان ژورنال: Linear Algebra and its Applications
سال: 2015
ISSN: 0024-3795
DOI: 10.1016/j.laa.2014.06.035