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Toplam kayıt 3, listelenen: 1-3
Combination of Approximate l(0)-Norm Regularized Multiple Adaptive Lattice Filters in Sparse Cogntive Radio Coannel Identification
(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
(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
(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 ...