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» Quantizing Density Estimators
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120
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GLOBECOM
2006
IEEE
15 years 9 months ago
Cluster-Based MIMO Channel Model Parameters Extracted from Indoor Time-Variant Measurements
— This paper presents a complete solution to the problem of how to parametrise cluster-based stochastic MIMO channel models from measurement data, with minimum user intervention....
Nicolai Czink, Ernst Bonek, Lassi Hentila, Jukka-P...
117
Voted
IVC
2002
85views more  IVC 2002»
15 years 3 months ago
Multi-modal gray-level histogram modeling and decomposition
In this paper, we present a novel multi-modal histogram thresholding method in which no a priori knowledge about the number of clusters to be extracted is needed. The proposed met...
Jeng-Horng Chang, Kuo-Chin Fan, Yang-Lang Chang
124
Voted
PIMRC
2010
IEEE
15 years 1 months ago
On the detection probability of parallel code phase search algorithms in GPS receivers
The first stage of the signal processing chain in a Global Positioning System (GPS) receiver is the acquisition, which provides for a desired satellite coarse code phase and Dopple...
Bernhard Geiger, Michael Soudan, Christian Vogel
BMCBI
2008
103views more  BMCBI 2008»
15 years 3 months ago
Parameter estimation for robust HMM analysis of ChIP-chip data
Background: Tiling arrays are an important tool for the study of transcriptional activity, proteinDNA interactions and chromatin structure on a genome-wide scale at high resolutio...
Peter Humburg, David Bulger, Glenn Stone
SSIAI
2000
IEEE
15 years 8 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal