نتایج جستجو برای: power spectral density

تعداد نتایج: 994622  

2012
Bhargava Manevarte Waquar Ahmad Rajesh M. Hegde

Distant speaker verification involves explicit spectral estimation of speech acquired over microphone arrays. The choice of the appropriate set of microphones is important here. In this paper we describe an implicit approach to minimum variance distortionless response (MVDR) spectral estimation of distant talking speech and its application in distant speaker verification. A mathematical formula...

2002
T. Belloni E. Nespoli J. Homan M. van der Klis W. H. G. Lewin J. M. Miller M. Méndez

We report preliminary results of a RossiXTE campaign on the 2002 outburst of the black-hole candidate GX 339–4. We show power density spectra of five observations during the early phase of the outburst. The first four power spectra show a smooth transition between a Low State and a Very High State. The fifth power spectrum resembles a High State, but a strong 6 Hz QPO appears suddenly within 16...

2008
Mary Yip Abdulaziz Alsager Emma Lewis Kevin Wells Kenneth C. Young

A wide variety of digital mammography systems are available for breast cancer imaging, each varying in physical performance. However, the relationship between physical performance assessment and clinical outcome is not clear. Thus, a means of simulating technically and clinically realistic images from different systems would represent a first step towards elucidating the impact of physical perf...

2001
DAVID BORTHWICK ALEJANDRO URIBE

ω(Ju, Jv) = ω(u, v) and ω(·, J ·) ≫ 0. The combination thus defines an associated Riemannian metric β(·, ·) = ω(·, J ·). Any symplectic manifold possesses such a structure. We will assume further that ω is ‘integral’ in the cohomological sense. This means we can find a complex hermitian line bundle L → X with hermitian connection ∇ whose curvature is −iω. Recently, beginning with Donaldson’s se...

2010
Smita Shrivastava SMITA SHRIVASTAVA S. JAIN R. K. NEMA Abul Kalam

In this paper Islanding detection methods for distributed resources are reviewed. The mainly used islanding detection techniques may be classified as active and passive techniques. Passive techniques don’t perturb the system but they have larger nondetection zones, whereas active techniques have smaller nondetection zones but they perturb the system. In this paper a new hybrid method is propose...

2012
Pierfrancesco Cacciola

Abstract: In this paper the traditional spectral-representation-method for simulating stochastic processes is revisited. A modification aimed to control the variability of the simulated samples of the random process is proposed. Specifically, in order to avoid that the simulated samples possess similar Fourier spectrum, it is proposed to randomize the power spectral density function through a p...

1998
Scott Saobing Chen David L. Donoho

In this paper, we apply Basis Pursuit, an atomic decomposition technique, for spectrum estimation. Compared with several modern time series methods, our approach can greatly reduce the problem of power leakage; it is able to superresolve; moreover, it works well with noisy and unevenly sampled signals. We present experiments on bizarrely spaced radial velocity data from one of the newly-discove...

Journal: :JCM 2009
Ming Zhang Wilfred Lauber

This paper investigates the nature and extent of the unavoidable RF emissions from in-home power line communication systems (PLC). Numerical models for these systems provide a good perception of the unintentional emissions and the effectiveness of the measures employed to reduce the harmful impact of these leakage emissions on radio reception. A specific wiring/ load configuration within a bung...

Journal: :IEICE Transactions 2008
Iltcho Angelov Akira Inoue Shinsuke Watanabe

ABSTRACT — The recently developed LS HBT model was evaluated with extensive Power spectrum, Load pull and Inter-modulation investigations. Some changes of the model were made, like improved temperature, leakage resistance and capacitance models. The corresponding changes were implemented in ADS as SDD. Important future of the model is that the model parameters are organized to use directly meas...

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