Author of the publication

Robust and Reduced-Rank Matrix Wiener Filter Based on the Block Conjugate Gradient Algorithm

, , , and . Proceedings of the 6th IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2005, New York City, New York, USA, page 555--559. (June 2005)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Construction of interpretable Radial Basis Function classifiers based on the Random Forest kernel., and . IJCNN, page 220-227. IEEE, (2008)Feature Selection for Change Detection in Multivariate Time-Series., and . CIDM, page 590-597. IEEE, (2007)Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance., , , , , , , and . IV, page 2164-2171. IEEE, (2019)Probability estimation for Predicted-Occupancy Grids in vehicle safety applications based on machine learning., and . Intelligent Vehicles Symposium, page 1285-1292. IEEE, (2016)Complexity reduction using the Random Forest classifier in a collision detection algorithm., and . Intelligent Vehicles Symposium, page 1228-1235. IEEE, (2010)Interpretable Machine Learning Structure for an Early Prediction of Lane Changes., , , , and . ICANN (1), volume 12396 of Lecture Notes in Computer Science, page 337-349. Springer, (2020)High Precision Indoor Navigation for Autonomous Vehicles., , , and . CoRR, (2020)High Precision Outdoor and Indoor Reference State Estimation for Testing Autonomous Vehicles., , , , and . Sensors, 21 (4): 1131 (2021)Data Collection and Safety Use Cases in Smart Infrastructures., , , , , , , , , and . AutomotiveUI (Adjunct Proceedings), page 333-336. ACM, (2023)Towards Feature Validation in Time to Lane Change Classification using Deep Neural Networks., , , , , and . ITSC, page 1-8. IEEE, (2020)