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The problem of estimating underlying trends in time series data arises in a variety of disciplines. In this paper we propose a variation on Hodrick-Prescott (H-P) filtering, a widely used method for t...
We focus on crowd-powered filtering, i.e., filtering a large set of items using humans. Filtering is one of the most commonly used building blocks in crowdsourcing applications and systems. While solu...
The paper deals with carrier recovery based on pilot symbols in single-carrier systems. Wiener's method is used to determine the optimal unconstrained filter in estimation of phase noise assuming that...
A method to track mobile terminals in a cellular communication network is presented. It uses the received field strength from the surrounding base stations. A subsequent Kalman filtering is used to mi...
Review on Structure Detection and Speckle Filtering on ERS-1 Images。

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