Kurum Yazarı "Özden, Mehmet Tahir" İçin Listeleme
-
Adaptive multichannel sequential lattice prediction filtering method for ARMA spectrum estimation in subbands
Özden, Mehmet Tahir (Springer, 2013)A multichannel characterization for autoregressive moving average (ARMA) spectrum estimation in subbands is considered in this article. The fullband ARMA spectrum estimation can be realized in two-channels as a special ... -
Adaptive Multichannel Sequential Lattice Prediction Filtering Method For Cognitive Radio Spectrum Sensing in Subbands
Özden, Mehmet Tahir (IEEE, 2012)A multichannel characterization for autoregressive moving average(ARMA) spectrum estimation in subbands with applications to cognitive radio spectrum sensing is considered in this presentation. The fullband ARMA spectrum ... -
Adaptive Multichannel Sequential Lattice Prediction Filtering Method for Range Estimation in Cognitive Radios
Özden, Mehmet Tahir (IEEE, 2014)A range estimation method 14 cognitive MIMO-OFDM radio systems is considered in this presentation. The range estimation problem is formulated as time delay estimation problem, and then adapted as multiple channel estimation ... -
Adaptive reconfigurable V-BLAST type equalizer for cognitive MIMO-OFDM radios
Özden, Mehmet Tahir (Springer, 2015)An adaptive channel shortening equalizer design for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) radio receivers is considered in this presentation. The proposed receiver has desirable ... -
Adaptive V-BLAST Type Channel Equalizer Design for Cognitive MIMO-OFDM Radios
Özden, Mehmet Tahir (IEEE, 2013)A channel shortening equalizer design for cognitive Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) communication systems is considered in this presentation. The proposed receiver ... -
Combination of Approximate l(0)-Norm Regularized Multiple Adaptive Lattice Filters in Sparse Cogntive Radio Coannel Identification
Özden, Mehmet Tahir (IEEE, 2020)A priori recursive least squares (RLS) lattice algorithm has been regularized by adding an approximation of 10-norm constraint penalty term to the cost function so as to introduce sparsity awareness to the prenously proposed ... -
Combination of Approximate P0-Norm Regularized Multiple Adaptive Lattice Filters in Sparse Cognitive Radio Channel Identification
Özden, Mehmet Tahir (Institute of Electrical and Electronics Engineers Inc., 2020)A priori recursive least squares (RLS) lattice algorithm has been regularized by adding an approximation of ?0-norm constraint penalty term to the cost function so as to introduce sparsity awareness to the previously ... -
Combinations of Multiple Adaptive Lattice Filters in Sparse Cognitive Radio Channel Identification
Özden, Mehmet Tahir (IEEE, 2019)Sparsity awareness feature has been introduced into the a priori recursive least squares (RLS) lattice algorithm by regularizing the RLS cost function with the addition of l(1)-norm constraint penalty term. The newly ... -
Sequential Combinations of Multiple Adaptive Lattice Filters in Cognitive Radio Channel Identification
Özden, Mehmet Tahir (IEEE, 2017)Sequential convex combinations of multiple adaptive lattice filters using different exponential weighting factors in cognitive radio channel identification framework have been considered in this presentation. First, the ... -
Sequential convex combinations of multiple adaptive lattice filters in cognitive radio channel identification
Özden, Mehmet Tahir (Springer, 2018)Sequential convex combinations of multiple adaptive lattice filters using different exponential weighting factors in cognitive radio (CR) channel identification framework have been considered in this presentation. First, ... -
Time - Frequency Analysis in Subbands Using Adaptive Multichannel Sequential Lattice Prediction Filtering Method
Özden, Mehmet Tahir (Institute of Electrical and Electronics Engineers Inc., 2023)The objective of this presentation is to propose a time-frequency analysis technique suitable for cognitive radio spectrum sensing, and radar, sonar imaging applications. The input data is windowed and converted to two ...
