Results 21 to 30 of about 24,612 (214)
Lower bounds on the estimation performance in low complexity quantize-and-forward cooperative systems [PDF]
, 2015 Cooperative communication can effectively mitigate the effects of multipath propagation fading by using relay channels to provide spatial diversity. A relaying scheme suitable for half-duplex devices is the quantize-and-forward (QF) protocol, in which ...
Aerts, Nico +2 more
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The modified cramer-rao bound for channel estimation in quantize-and-forward cooperative systems [PDF]
, 2013 The quantize-and-forward (QF) cooperative protocol can effectively be used to combat fading in systems using half-duplex relay terminals. While the outage behavior of the QF protocol has been extensively investigated, few research has been performed on ...
Avram, Iancu, Moeneclaey, Marc
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On stability of generalized (affine) phase retrieval in the complex case
Journal of Inequalities and Applications, 2019 In this paper, we discuss the stability of generalized phase retrieval and generalized affine phase retrieval in the complex case. By the realification method, we obtain the bi-Lipschitz property in the absence of noise case and Cramer–Rao lower bound ...
Zhitao Zhuang
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IET Signal Processing, 2021 Joint Cramér‐Rao lower bound (JCRLB) is very useful for the performance evaluation of joint state and parameter estimation (JSPE) of non‐linear systems, in which the current measurement only depends on the current state.
Xianqing Li +2 more
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Localization and time synchronization in wireless sensor networks: a unified approach [PDF]
, 2008 Localization and synchronization are two important issues in communication systems and wireless sensor networks. These two problems are addressed in many applications, and share many aspects in common.
Wu, YC, Zheng, J
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Wideband DOA Estimation via Sparse Bayesian Learning over a Khatri-Rao Dictionary [PDF]
, 2015 This paper deals with the wideband direction-of-arrival (DOA) estimation by exploiting the multiple measurement vectors (MMV) based sparse Bayesian learning (SBL) framework.
Naichang Yuan, Ning Tai, Yujian Pan
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Frontiers in Computational Neuroscience, 2023 Hierarchical Temporal Memory (HTM) is an unsupervised algorithm in machine learning. It models several fundamental neocortical computational principles.
Shiva Sanati +2 more
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Bounds on Distance Estimation via Diffusive Molecular Communication
, 2014 This paper studies distance estimation for diffusive molecular communication. The Cramer-Rao lower bound on the variance of the distance estimation error is derived.
Cheung, Karen C. +2 more
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Spectral unmixing of Multispectral Lidar signals [PDF]
, 2015 In this paper, we present a Bayesian approach for spectral unmixing of multispectral Lidar (MSL) data associated with surface reflection from targeted surfaces composed of several known materials.
Altmann, Yoann +2 more
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Comments on "Timing Estimation and Resynchronization for Amplify-and-Forward Communication Systems [PDF]
, 2011 This correspondence first shows that the Cramer- Rao lower bound (CRLB) derivations in the above paper are incorrect. In addition, contrary to the claims in the above paper, the assumptions of perfect timing offset estimation and matched-filtering at the
Blostein, Steven D., Mehrpouyan, Hani
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