000154159 001__ 154159
000154159 005__ 20190316234929.0
000154159 037__ $$aCONF
000154159 245__ $$aPolynomial Filter Design for Quantized Consensus
000154159 269__ $$a2010
000154159 260__ $$c2010
000154159 336__ $$aConference Papers
000154159 520__ $$aWe consider the problem of distributed average consensus where sensors exchange quantized data with their neighbors. We deploy a polynomial filtering approach in the network nodes in order to accelerate the convergence of the consensus problem. The quantization of the values computed by the sensors however imposes a careful design of the polynomial filter. We first study the impact of the quantization noise in the performance of accelerated consensus based on polynomial filtering. It occurs that the performance is clearly penalized by the quantization noise, whose impact directly depends on the filter coefficients. We then formulate a convex optimization problem for determining the coefficients of a polynomial filter, which is able to control the quantization noise while accelerating the convergence rate. The simulation results show that the proposed solution is robust to quantization noise while assuring a high convergence speed to the average value in the network.
000154159 6531_ $$aDistributed averaging
000154159 6531_ $$aDistributed consensus
000154159 6531_ $$aPolynomial filtering
000154159 6531_ $$aUniform quantization
000154159 6531_ $$aLTS4
000154159 700__ $$0244101$$g185309$$aThanou, Dorina
000154159 700__ $$aPark, Hyung Gon
000154159 700__ $$0240462$$g170201$$aKokiopoulou, Effrosyni
000154159 700__ $$g101475$$aFrossard, Pascal$$0241061
000154159 7112_ $$dAugust 23-27, 2010$$cAalborg, Denmark$$aEuropean Signal Processing Conference (EUSIPCO)
000154159 773__ $$tProceedings of the 18th European Signal Processing Conference 
000154159 8564_ $$uhttps://infoscience.epfl.ch/record/154159/files/1569291261.pdf$$zn/a$$s206334$$yn/a
000154159 909C0 $$xU10851$$0252393$$pLTS4
000154159 909CO $$qGLOBAL_SET$$pconf$$ooai:infoscience.tind.io:154159$$pSTI
000154159 917Z8 $$x185309
000154159 917Z8 $$x101475
000154159 937__ $$aEPFL-CONF-154159
000154159 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000154159 980__ $$aCONF