Smoothing methods comparison for CMBE- andB-mode separation

A Comparison of Mesh Smoothing Methods

We consider several conventional mesh smoothing approaches such as the Laplacian and bilaplacian smoothing methods, mean curvature flow (implicit implementation), and the Taubin j scheme and give a quantitative evaluation of them. To compare two close meshes having the same connectivity we consider vertex-based and normalbased L2 error metrics. We also give a visual comparison of the methods. W...

islanding detection methods for microgrids

امروزه استفاده از منابع انرژی پراکنده کاربرد وسیعی یافته است . اگر چه این منابع بسیاری از مشکلات شبکه را حل می کنند اما زیاد شدن آنها مسائل فراوانی برای سیستم قدرت به همراه دارد . استفاده از میکروشبکه راه حلی است که علاوه بر استفاده از مزایای منابع انرژی پراکنده برخی از مشکلات ایجاد شده توسط آنها را نیز منتفی می کند . همچنین میکروشبکه ها کیفیت برق و قابلیت اطمینان تامین انرژی مشترکان را افزایش ...

A Comparison of Two Smoothing Methods for Word Bigram Models

Word bigram models estimated from text corpora require smoothing methods to estimate the probabilities of unseen bigrams. The deleted estimation method uses the formula: Pr(i j j) = fi + (1 )fijj ; where fi and fijj are the relative frequency of i and the conditional relative frequency of i given j, respectively, and is an optimized parameter. MacKay (1994) proposes a Bayesian approach using Di...

A Comparison Between Time Series, Exponential Smoothing, and Neural Network Methods To Forecast GDP of Iran

Weighted subspace methods and spatial smoothing: analysis and comparison

In this paper, the effect of using a spatially smoothed forward-backward covariance matrix on the performance of weighted eigen-based state space methods/ESPRIT, and weighted MUSIC for the direction-of-arrival (DOA) estimation is analyzed. Expressions for the mean-squared error in the estimates of the signal zeros and the DOA estimates, along with some general properties of the estimates and op...