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Error Correction Coding: Mathematical Methods and Algorithms

Moon, Todd K

1. Aufl., 2005

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Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion

Entropy (Basel, Switzerland), 2023-03, Vol.25 (3), p.511

2023

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Bayesian Compressive Sensing of Sparse Signals with Unknown Clustering Patterns

Entropy (Basel, Switzerland), 2019-03, Vol.21 (3), p.247

2019

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Estimation of Autoregressive Parameters from Noisy Observations Using Iterated Covariance Updates

Entropy (Basel, Switzerland), 2020-05, Vol.22 (5), p.572

2020

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Kurtosis-Based Symbol Timing and Carrier Phase/Frequency Tracking

Entropy (Basel, Switzerland), 2021-06, Vol.23 (7), p.819

2021

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Anomaly Detection on Small Wind Turbine Blades Using Deep Learning Algorithms

Energies (Basel), 2024-02, Vol.17 (5), p.982

2024

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Exploration vs. Data Refinement via Multiple Mobile Sensors

Entropy (Basel, Switzerland), 2019-06, Vol.21 (6), p.568

2019

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Voice Transformation Using Two-Level Dynamic Warping and Neural Networks

Signals (Basel), 2021-09, Vol.2 (3), p.456-474

2021

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A functional near‐infrared spectroscopic investigation of speech production during reading

Human brain mapping, 2018-03, Vol.39 (3), p.1428-1437

2018

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Target codes

International journal of mobile network design and innovation, 2022, Vol.10 (3), p.166

2022

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Orbit Refinement for Doppler Removal Using Observations from Multiple Frequencies, Multiple Ground Sites, and Multiple Overpasses

2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, p.1367-1371

2021

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Source localization on limited bandwidth signals using autocorrelation-based fingerprinting

2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, p.528-533

2021

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GPS-Denied Navigation Using SAR by Measuring Position Fitness Using Image Quality Measures

2023 57th Asilomar Conference on Signals, Systems, and Computers, 2023, p.1194-1198

2023

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A comparison of data imputation methods using Bayesian compressive sensing and Empirical Mode Decomposition for environmental temperature data

Environmental modelling & software : with environment data news, 2018-04, Vol.102 (C), p.172-184

2018

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Optimizing the Number of Collectors in Machine-to-Machine Advanced Metering Infrastructure Architecture for Internet of Things-Based Smart Grid

2016 IEEE Green Technologies Conference (GreenTech), 2016, p.51-55

2016

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Soft Linear Algebra Over Noisy GF(q) Matrices

2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022, p.129-135

2022

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Fast Solutions of Toeplitz Equations over Finite Fields

2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022, p.121-128

2022

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Extracting Doppler From WiFi Signals Reflected from Moving Targets for Target Tracking

2023 57th Asilomar Conference on Signals, Systems, and Computers, 2023, p.1199-1203

2023

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Modern Neural Networks

Johns Hopkins APL technical digest, 2022-01, Vol.36 (1), p.14

2022

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Adaptive Regression Trees for Nonlinear Adaptive Filtering

2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022, p.376-379

2022

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SPARSE BAYESIAN LEARNING USING VARIATIONAL BAYES INFERENCE BASED ON A GREEDY-BASED CRITERION

Conference record - Asilomar Conference on Signals, Systems, & Computers, 2018-04, Vol.51, p.858-862

2018

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Exploration and data refinement via multiple mobile sensors based on Gaussian processes

2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017, Vol.51, p.885-889

2017

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Sparse Bayesian learning boosted by partial erroneous support knowledge

2016 50th Asilomar Conference on Signals, Systems and Computers, 2016, Vol.2016, p.389-393

2016

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Inverse problems-based maximum likelihood estimation of ground reflectivity for selected regions of interest from stripmap SAR data

IEEE transactions on aerospace and electronic systems, 2016-12, Vol.52 (6), p.2930-2939

2016

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Hierarchical Bayesian approach for jointly-sparse solution of multiple-measurement vectors

2014 48th Asilomar Conference on Signals, Systems and Computers, 2014-11, Vol.2014, p.1962-1966

2014

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Error Correction Coding: Mathematical Methods and Algorithms

Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion

Bayesian Compressive Sensing of Sparse Signals with Unknown Clustering Patterns

Estimation of Autoregressive Parameters from Noisy Observations Using Iterated Covariance Updates

Kurtosis-Based Symbol Timing and Carrier Phase/Frequency Tracking

Anomaly Detection on Small Wind Turbine Blades Using Deep Learning Algorithms

Exploration vs. Data Refinement via Multiple Mobile Sensors

Voice Transformation Using Two-Level Dynamic Warping and Neural Networks

A functional near‐infrared spectroscopic investigation of speech production during reading

Target codes

Orbit Refinement for Doppler Removal Using Observations from Multiple Frequencies, Multiple Ground Sites, and Multiple Overpasses

Source localization on limited bandwidth signals using autocorrelation-based fingerprinting

GPS-Denied Navigation Using SAR by Measuring Position Fitness Using Image Quality Measures

A comparison of data imputation methods using Bayesian compressive sensing and Empirical Mode Decomposition for environmental temperature data

Optimizing the Number of Collectors in Machine-to-Machine Advanced Metering Infrastructure Architecture for Internet of Things-Based Smart Grid

Soft Linear Algebra Over Noisy GF(q) Matrices

Fast Solutions of Toeplitz Equations over Finite Fields

Extracting Doppler From WiFi Signals Reflected from Moving Targets for Target Tracking

Modern Neural Networks

Adaptive Regression Trees for Nonlinear Adaptive Filtering

SPARSE BAYESIAN LEARNING USING VARIATIONAL BAYES INFERENCE BASED ON A GREEDY-BASED CRITERION

Exploration and data refinement via multiple mobile sensors based on Gaussian processes

Sparse Bayesian learning boosted by partial erroneous support knowledge

Inverse problems-based maximum likelihood estimation of ground reflectivity for selected regions of interest from stripmap SAR data

Hierarchical Bayesian approach for jointly-sparse solution of multiple-measurement vectors

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