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Efficient Estimation of Pauli Channels [PDF]
ACM Transactions on Quantum Computing, 2020 Pauli channels are ubiquitous in quantum information, both as a dominant noise source in many computing architectures and as a practical model for analyzing error correction and fault tolerance. Here, we prove several results on efficiently learning Pauli channels and more generally the Pauli projection of a quantum channel.
Flammia, Steven T., Wallman, Joel J.
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Pilot design for underwater MIMO cosparse channel estimation based on compressed sensing
International Journal of Distributed Sensor Networks, 2021 In multiple-input multiple-output–orthogonal frequency-division multiplexing underwater acoustic communication systems, the correlation of the sampling matrix is the key of the channel estimation algorithm based on compressed sensing. To reduce the cross-
Yun Li +4 more
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Distributed estimation over parallel fading channels with channel estimation error
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 We consider distributed estimation of a source observed by sensors in additive Gaussian noise, where the sensors are connected to a fusion center with unknown orthogonal (parallel) flat Rayleigh fading channels. We adopt a two-phase approach of (i) channel estimation with training, and (ii) source estimation given the channel estimates, where the total
Senol, Habib, Tepedelenlioglu, Cihan
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Unitarity Estimation for Quantum Channels
IEEE Transactions on Information Theory, 2023 Estimating the unitarity of an unknown quantum channel $\mathcal{E}$ provides information on how much it is unitary, which is a basic and important problem in quantum device certification and benchmarking. Unitarity estimation can be performed with either coherent or incoherent access, where the former in general leads to better query complexity while ...
Kean Chen +3 more
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An Iterative Receiver for OFDM With Sparsity-Based Parametric Channel Estimation [PDF]
, 2018 In this work we design a receiver that iteratively passes soft information between the channel estimation and data decoding stages. The receiver incorporates sparsity-based parametric channel estimation.
Badiu, Mihai-Alin +3 more
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Distributed Estimation with Channel Estimation Error over Orthogonal Fading Channels
2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers, 2007 We study distributed estimation of a source corrupted by an additive Gaussian noise and observed by sensors which are connected to a fusion center with unknown orthogonal (parallel) flat Rayleigh fading channels. The fading communication channels are estimated with training.
Şenol, Habib, Tepedelenlioğlu, Cihan
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Learning the MMSE Channel Estimator [PDF]
IEEE Transactions on Signal Processing, 2018 To appear in IEEE Transactions on Signal ...
David Neumann +2 more
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Channel Estimation Based on Statistical Frames and Confidence Level in OFDM Systems
Applied Sciences, 2018 Channel estimation is an important module for improving the performance of the orthogonal frequency division multiplexing (OFDM) system. The pilot-based least square (LS) algorithm can improve the channel estimation accuracy and the symbol error rate ...
Xiao Zhou +3 more
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Parameter Estimation of Quantum Channels [PDF]
IEEE Transactions on Information Theory, 2008 Final ...
Ji, Zhengfeng +4 more
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The Extended-Window Channel Estimator for Iterative Channel-and-Symbol Estimation
EURASIP Journal on Wireless Communications and Networking, 2005 L'application de l'algorithme de maximisation des attentes (EM) à l'estimation des canaux aboutit à un estimateur itératif de canaux et de symboles (ICSE) bien connu. L'EM-ICSE itère entre un estimateur de symbole basé sur la récursivité avant-arrière (égaliseur BCJR) et un estimateur de canal, et peut fournir des estimations approximatives de canal ...
Renato da Rocha Lopes, John R. Barry
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