From the analyses of transcriptome data presented here, it appears that the collective effects of numerous natural mutations might override a sparse nature of major effect mutations and dominate the collective properties of molecular networks.
So the sparse interface reflects the sparse nature of the service so far.
Quantifying these processes, however, is difficult due to the sparse nature of existing observations.
Thus, the channel impulse response has a sparse nature [2 4].
This paper develops a new algorithm to estimate the mmW channel by exploiting the sparse nature of the channel.
The sparse nature of such a response causes standard adaptive algorithms including normalized LMS to perform poorly.
The LT-coded scheme has the lowest complexity due to its sparse nature but has the lowest rate.
Some adaptive algorithms exploiting the sparse nature of the impulse response have been proposed to resolve this problem.
The sparse partial (SP) update NLMS SPNLMSS) algorithm [12] utilizes the sparse nature of network impulse response.
This makes the problem ill-posed, but it can be solved using the sparse nature of α.
In [15], a compressed sensing-based channel estimation was proposed by exploiting the sparse nature of large mmWave MIMO channels.
