Generalized approximate message passing estimation from quantized samples

Estimation of a vector from quantized linear measurements is a common problem for which simple linear techniques are sometimes greatly suboptimal. This paper summarizes the development of generalized approximate message passing (GAMP) algorithms for minimum mean-squared error estimation of a random...

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Bibliographische Detailangaben

Hauptverfasser:	Kamilov, U., Goyal, V. K., Rangan, S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Approximation algorithms Belief propagation Distortion measurement Estimation Message passing Quantization Slabs
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