Adaptive algorithm, Algorithm, Iterative method, Control theory and Recursive least squares filter are his primary areas of study. The concepts of his Adaptive algorithm study are interwoven with issues in Multiuser detection, Code division multiple access and Spread spectrum. The various areas that R.C. de Lamare examines in his Algorithm study include MIMO and Telecommunications link.
R.C. de Lamare combines subjects such as Single antenna interference cancellation and Bit error rate with his study of Telecommunications link. His Iterative method research includes themes of Minimum mean square error and Adaptive filter. His studies examine the connections between Recursive least squares filter and genetics, as well as such issues in Intersymbol interference, with regards to Constrained optimization and Spatial multiplexing.
His primary scientific interests are in Algorithm, Control theory, Recursive least squares filter, Spread spectrum and Adaptive filter. His Algorithm research is multidisciplinary, relying on both Code division multiple access, Minimum mean square error, Communication channel, Intersymbol interference and Mathematical optimization. His Control theory study combines topics from a wide range of disciplines, such as Iterative method, MIMO, Filter and Estimation theory.
R.C. de Lamare interconnects Convergence and Signal processing in the investigation of issues within Recursive least squares filter. His work carried out in the field of Spread spectrum brings together such families of science as Radio receiver and Multipath propagation. His studies in Adaptive filter integrate themes in fields like Covariance matrix, Algorithm design, Wiener filter and Adaptive algorithm.
R.C. de Lamare spends much of his time researching Algorithm, Relay, Selection, Link and Bit error rate. R.C. de Lamare integrates many fields in his works, including Algorithm and Noise. His work in Relay tackles topics such as Protocol which are related to areas like Reliability, Cooperative MIMO and Maximum likelihood.
In Link, R.C. de Lamare works on issues like Pairwise error probability, which are connected to Computer engineering. His research on Telecommunications link also deals with topics like
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Adaptive Reduced-Rank Processing Based on Joint and Iterative Interpolation, Decimation, and Filtering
R.C. de Lamare;R. Sampaio-Neto.
IEEE Transactions on Signal Processing (2009)
Minimum Mean-Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems
R.C. de Lamare;R. Sampaio-Neto.
IEEE Transactions on Communications (2008)
Multiple Feedback Successive Interference Cancellation Detection for Multiuser MIMO Systems
Peng Li;R. C. de Lamare;Rui Fa.
IEEE Transactions on Wireless Communications (2011)
Reduced-Rank Adaptive Filtering Based on Joint Iterative Optimization of Adaptive Filters
R.C. de Lamare;R. Sampaio-Neto.
IEEE Signal Processing Letters (2007)
Adaptive reduced-rank MMSE filtering with interpolated FIR filters and adaptive interpolators
R.C. de Lamare;R. Sampaio-Neto.
IEEE Signal Processing Letters (2005)
Adaptive Reduced-Rank Equalization Algorithms Based on Alternating Optimization Design Techniques for MIMO Systems
R. C. de Lamare;R. Sampaio-Neto.
IEEE Transactions on Vehicular Technology (2011)
Reduced-Rank Space–Time Adaptive Interference Suppression With Joint Iterative Least Squares Algorithms for Spread-Spectrum Systems
R.C. de Lamare;R. Sampaio-Neto.
IEEE Transactions on Vehicular Technology (2010)
Blind Adaptive Constrained Reduced-Rank Parameter Estimation Based on Constant Modulus Design for CDMA Interference Suppression
R.C. de Lamare;M. Haardt;R. Sampaio-Neto.
IEEE Transactions on Signal Processing (2008)
Transmit Diversity and Relay Selection Algorithms for Multirelay Cooperative MIMO Systems
P. Clarke;R. C. de Lamare.
IEEE Transactions on Vehicular Technology (2012)
Adaptive reduced-rank LCMV beamforming algorithms based on joint iterative optimization of filters: Design and analysis
R. C. de Lamare;L. Wang;R. Fa.
Signal Processing (2010)
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