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GLOBECOM
2006
IEEE
14 years 4 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...
IVC
2002
85views more  IVC 2002»
13 years 9 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
PIMRC
2010
IEEE
13 years 8 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»
13 years 10 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
14 years 2 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