Complex Support Vector Machine Regression for Robust Channel Estimation in Lte Downlink System

Anis Charrada

doi:10.5121/ijcnc.2012.4115

Complex Support Vector Machine Regression for Robust Channel Estimation in Lte Downlink System

International journal of Computer Networks & Communications ◽

10.5121/ijcnc.2012.4115 ◽

2012 ◽

Vol 4 (1) ◽

pp. 211-224 ◽

Cited By ~ 1

Author(s):

Anis Charrada

Keyword(s):

Support Vector Machine ◽

Channel Estimation ◽

Support Vector ◽

Support Vector Machine Regression ◽

Downlink System

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Joint interpolation for LTE downlink channel estimation in very high-mobility environments with support vector machine regression

IET Communications ◽

10.1049/iet-com.2016.0132 ◽

2016 ◽

Vol 10 (17) ◽

pp. 2435-2444 ◽

Cited By ~ 8

Author(s):

Anis Charrada ◽

Abdelaziz Samet

Keyword(s):

Support Vector Machine ◽

Channel Estimation ◽

High Mobility ◽

Support Vector ◽

Support Vector Machine Regression ◽

Very High

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Support Vector Machine Regression and Artificial Neural Network for Channel Estimation of LTE Downlink in High-Mobility Environments

Transactions on Machine Learning and Artificial Intelligence ◽

10.14738/tmlai.44.2145 ◽

2016 ◽

Vol 4 (4) ◽

Author(s):

Anis Charrada ◽

Abdel Aziz

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Support Vector Machine ◽

Channel Estimation ◽

High Mobility ◽

Support Vector ◽

Support Vector Machine Regression ◽

Artificial Neural

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LTE Downlink channel estimation based on Artificial Neural Network and complex Support Vector Machine Regression

2016 4th International Conference on Control Engineering & Information Technology (CEIT) ◽

10.1109/ceit.2016.7929031 ◽

2016 ◽

Author(s):

Anis Charrada ◽

Abdelaziz Samet

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Support Vector Machine ◽

Channel Estimation ◽

Support Vector ◽

Support Vector Machine Regression ◽

Artificial Neural

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Support vector machine regression for predicting dimensional features of die-sinking electrical discharge machined components

Procedia CIRP ◽

10.1016/j.procir.2021.03.109 ◽

2021 ◽

Vol 99 ◽

pp. 508-513

Author(s):

Kanka Goswami ◽

G L Samuel

Keyword(s):

Support Vector Machine ◽

Electrical Discharge ◽

Support Vector ◽

Support Vector Machine Regression

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Exploration of Synthetic Terrestrial Snow Mass Estimation via Assimilation of AMSR‐E Brightness Temperature Spectral Differences Using the Catchment Land Surface Model and Support Vector Machine Regression

Water Resources Research ◽

10.1029/2020wr027490 ◽

2021 ◽

Vol 57 (2) ◽

Author(s):

Jing Wang ◽

Barton A. Forman ◽

Yuan Xue

Keyword(s):

Support Vector Machine ◽

Brightness Temperature ◽

Land Surface ◽

Land Surface Model ◽

Support Vector ◽

Surface Model ◽

Support Vector Machine Regression ◽

Mass Estimation ◽

Snow Mass

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Erratum to: Prognostics of Induction Motor Shaft Based on Feature Importance and Least Square Support Vector Machine Regression

International Journal of Automotive and Mechanical Engineering ◽

10.15282/ijame.18.2.2021.12.0668 ◽

2021 ◽

Vol 18 (2) ◽

pp. 8751

Author(s):

Didik Djoko Susilo ◽

A. Widodo ◽

T. Prahasto ◽

M. Nizam

Keyword(s):

Support Vector Machine ◽

Induction Motor ◽

Mechanical Engineering ◽

Least Square ◽

Support Vector ◽

Motor Shaft ◽

Support Vector Machine Regression ◽

Least Squares Support Vector Machine Regression with Equality Constraints

Physics Procedia ◽

10.1016/j.phpro.2012.02.327 ◽

2012 ◽

Vol 24 ◽

pp. 2227-2230

Author(s):

Kun Liu ◽

Bing-Yu Sun

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Equality Constraints ◽

Support Vector ◽

Support Vector Machine Regression

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Prediction of Human Intestinal Absorption by GA Feature Selection and Support Vector Machine Regression

International Journal of Molecular Sciences ◽

10.3390/ijms9101961 ◽

2008 ◽

Vol 9 (10) ◽

pp. 1961-1976 ◽

Cited By ~ 39

Author(s):

Aixia Yan ◽

Zhi Wang ◽

Zongyuan Cai

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

Intestinal Absorption ◽

Support Vector ◽

Support Vector Machine Regression ◽

Human Intestinal Absorption

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Fault detection of pressure sensor of blast furnace fan based on Chaos Sparrow Search Algorithm-Support vector machine regression

Journal of Physics Conference Series ◽

10.1088/1742-6596/2010/1/012029 ◽

2021 ◽

Vol 2010 (1) ◽

pp. 012029

Author(s):

Ming Zhang ◽

Qiong Liu ◽

Jihong Deng ◽

Chun Chen

Keyword(s):

Support Vector Machine ◽

Blast Furnace ◽

Fault Detection ◽

Pressure Sensor ◽

Search Algorithm ◽

Support Vector ◽

Support Vector Machine Regression

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Application of Support Vector Machine Regression in Stock Price Forecasting

Advances in Intelligent and Soft Computing - Business, Economics, Financial Sciences, and Management ◽

10.1007/978-3-642-27966-9_49 ◽

2012 ◽

pp. 359-365 ◽

Cited By ~ 1

Author(s):

Zhongxin Ding

Keyword(s):

Support Vector Machine ◽

Stock Price ◽

Support Vector ◽

Price Forecasting ◽

Support Vector Machine Regression ◽

Stock Price Forecasting

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