Analysis for the lue-Noise Point Sampling using Kernel Density Model

نویسنده

  • Raanan Fattal
چکیده

since Φ̂(ω)Φ̂(−θ) = e−σ2(‖ω‖2+‖θ‖2)/4 = Φ̂(ω−θ)e−σ2(ω·θ∗+ω∗·θ)/4. (9) Assuming X is near equilibrium then, at reasonably low temperature, the power spectrum of the point configuration shows the bluenoise properties, i.e., has a delta at the origin and vanishes in an annulus around it. The approximation function Â(ω) equals to this function times Φ̂(ω) which is zero outside the angulus and hence Â(ω) ≈ δ(ω)Â(0). Therefore, the term in (8) is approximately ‖ω‖2 T e ‖ω‖/2 ( Â(ω)− δρ(ω) )

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Detecting pitting corrosion and its severity using wavelet entropy in electrochemical noise measurement

Entropy as a measure of uncertainty was used to represent the results of the wavelet technique in electrochemical noise analysis. The experimental signals were obtained by recording the electrochemical potential and current noise of 7075 aluminum alloy in 3.5% NaCl solution. The electrochemical potential and current noise were decomposed into 16 levels using Daubechies wavelets. Wavelet output ...

متن کامل

The Kernel

We present an algorithm that samples the hypothesis space of kernel classiiers. Given a uniform prior over normalised weight vectors and a likelihood based on a model of label noise leads to a piece-wise constant posterior that can be sampled by the kernel Gibbs sampler (KGS). The KGS is a Markov Chain Monte Carlo method that chooses a random direction in parameter space and samples from the re...

متن کامل

The Kernel Gibbs Sampler

We present an algorithm that samples the hypothesis space of kernel classifiers. Given a uniform prior over normalised weight vectors and a likelihood based on a model of label noise leads to a piecewise constant posterior that can be sampled by the kernel Gibbs sampler (KGS). The KGS is a Markov Chain Monte Carlo method that chooses a random direction in parameter space and samples from the re...

متن کامل

Deconvolution of Point Sources: A Sampling Theorem and Robustness Guarantees

In this work we analyze a convex-programming method for estimating superpositions of point sources or spikes from nonuniform samples of their convolution with a known kernel. We consider a one-dimensional model where the kernel is either a Gaussian function or a Ricker wavelet, inspired by applications in geophysics and imaging. Our analysis establishes that minimizing a continuous counterpart ...

متن کامل

General Point Sampling with Adaptive Density and Correlations

Analyzing and generating sampling patterns are fundamental problems for many applications in computer graphics. Ideally, point patterns should conform to the problem at hand with spatially adaptive density and correlations. Although there exist excellent algorithms that can generate point distributions with spatially adaptive density or anisotropy, the pair-wise correlation model, blue noise be...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011