Name
Papers
Collaborators
JUAN JOSÉ MURILLO-FUENTES
57
61
Citations 
PageRank 
Referers 
182
23.93
358
Referees 
References 
733
605
Search Limit
100733
Title
Citations
PageRank
Year
A Low-Complexity Double EP-Based Detector for Iterative Detection and Decoding in MIMO10.342021
Channel Equalization with Expectation Propagation at Smoothing Level10.392020
Improving offline HTR in small datasets by purging unreliable labels00.342020
A Double EP-Based Proposal for Turbo Equalization.10.362020
Self and turbo iterations for MIMO receivers and large-scale systems.00.342019
The Generalized Complex Kernel Least-Mean-Square Algorithm10.362019
Recursive Estimation of Dynamic RSS Fields Based on Crowdsourcing and Gaussian Processes.00.342019
Equalization with Expectation Propagation at Smoothing Level.10.372018
Turbo EP-Based Equalization: A Filter-Type Implementation.50.452018
Boosting Handwriting Text Recognition in Small Databases with Transfer Learning10.392018
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo.40.462018
Complex Gaussian Processes for Regression.30.392018
On the Power Spectral Density Applied to the Analysis of Old Canvases.00.342018
Widely Linear Complex-Valued Kernel Methods for Regression.30.392017
Probabilistic Equalization With a Smoothing Expectation Propagation Approach.40.432017
Expectation Propagation as Turbo Equalizer in ISI Channels.70.502017
Recursive Estimation Of Time-Varying Rss Fields Based On Crowdsourcing And Gaussian Processes00.342017
Complex-Valued Kernel Methods for Regression.00.342016
Block expectation propagation equalization for ISI channels30.382015
Approaching the DT Bound Using Linear Codes in the Short Blocklength Regime20.372015
On the implementation of distributed asynchronous non-linear kernel methods over wireless sensor networks50.452015
Predictive Analytics in Business Intelligence Systems via Gaussian Processes for Regression.00.342015
Proper Complex Gaussian Processes for Regression.00.342015
Gaussian Process for Regression in Business Intelligence: A Fraud Detection Application.00.342015
Complex kernels for proper complex-valued signals: A review20.392015
Blind Low Complexity Time-Of-Arrival Estimation Algorithm for UWB Signals20.452015
Gaussian processes regressors for complex proper signals in digital communications40.482014
Tree-Structured Expectation Propagation for LDPC Decoding over BMS Channels.40.402013
Improving the BP estimate over the AWGN channel using Tree-structured expectation propagation00.342013
Gaussian Processes for Nonlinear Signal Processing00.342013
Tree Expectation Propagation for ML Decoding of LDPC Codes over the BEC30.412013
Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent Advances531.672013
Bayesian Equalization for LDPC Channel Decoding60.482012
Remote Detection of a Frequency Jammer Operating in the Down Link of a Cellular System00.342012
Tree-structured expectation propagation for LDPC decoding over the AWGN channel00.342012
Remote detection of interfered downlinks in wireless cellular systems.00.342012
Tree-Structure Expectation Propagation for LDPC Decoding Over the BEC90.552012
Near the Cramér–Rao Bound Precoding Algorithms for OFDM Blind Channel Estimation30.402012
Finite-length performance of spatially-coupled LDPC codes under TEP decoding10.362012
Finite-length analysis of the TEP decoder for LDPC ensembles over the BEC10.352012
On the Design of LDPC-Convolutional Ensembles Using the TEP Decoder.10.352012
Tree-Structured Expectation Propagation for Decoding Finite-Length LDPC Codes.110.652011
Map Decoding For Ldpc Codes Over The Binary Erasure Channel10.352011
An Application of Tree-Structured Expectation Propagation for Channel Decoding.00.342011
Capacity achieving LDPC ensembles for the TEP decoder in erasure channels.00.342011
Channel decoding with a Bayesian equalizer10.372010
Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes80.572010
Tree-Structure Expectation Propagation for LDPC Decoding in Erasure Channels30.412010
Analyzing signal strength versus quality levels in cellular systems: A case study in GSM00.342009
Gaussian process regressors for multiuser detection in DS-CDMA systems20.392009
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