Sentence examples for multipath sparsity and from inspiring English sources

In [8], the authors formalized the notion of multipath sparsity and proposed the CCS approach.

From these spectrograms, we first analyze the sparsity across subbands (spectral sparsity), across frames (temporal sparsity) and across channels (spatial sparsity).

The average overall sparsity and column sparsity of the eigenphone matrix are shown in parentheses.

Section 3 redefines the sparsity and formulate the optimal sparsity problem for EH-WSNs.

In the Section 2, we give more details about the sparsity and all these prior models which enforce the sparsity.

a average SNR vs sparsity; b average Hamming error vs sparsity; c average number of missing nonzero coefficients vs sparsity; and d average number of misidentified nonzero coefficients vs sparsity.

This property is called "group sparsity" or "joint sparsity," and many literature have considered these new sparse problems [1 6].

Sparsity and symmetry of the matrices are exploited and cluster eigensolutions can be handled without difficulty.

The associated variational formulation of the problem contains terms that promote sparsity and smoothness.

The outcome of this phenomenon is an increased sparsity and improved conditioning of the global matrix.

According to the test results R-MCL is a considerable method against high sparsity and noise.