The first one in Fig. 3a is a sparse impulse response of typical network echo with sparseness 0.92. Figure 3b is a dispersive channel with sparseness 0.44.
This method pursuit sparseness and part-based representation at the same time.
Figure 3 Gaussian input with sparseness degree range from 0.90 to 0.80.
It is observed that the available column-modeled database lacks in volatility and ability to deal with sparseness.
The IMPNLMS+ and non-normalized IMPNLMS+ (MPNLMS++), are compared as Figures 1, 2, and 3. Figure 1 Gaussian input with sparseness degree 0.80. Figure 2 Gaussian input with sparseness degree 0.60.
MFSC : matrix factorization with sparseness constraints (Hoyer, 2004 ).
Figure 10 B shows the distribution of the color sparseness index of LW, and the neuron with sparseness index > 0.3 is denoted by red color.
Bayesian hierarchical models have significantly helped to cope with sparseness in disease-mapping studies (Best et al. 2005).
In [7], the authors have compared the Burg method with their l1-norm minimization method using the modern interior points method and shown that the sparseness is not preserved with the Burg method.
More specifically, Section "Main steps of standard UBSS methods" recalls the source recovery and mixing matrix estimation steps in classical UBSS methods based on sparseness assumptions.
