Sentence examples for sparse such from inspiring English sources
This poses a challenge in applications where the measurement data are sparse, such as site characterization.
It is found that the BCS method is more suitable and performs better than the OK, PI, CSI and IDW methods when the measurement data are limited and sparse, such as interpretation of geological data or site characterization data.
DUET however is limited in that it relies upon source signals which are mixed in an anechoic environment and which are sufficiently sparse such that it is assumed that only one source is active at a given time frequency point.
Second, we find that the filtered estimates with ordinary kriging are superior to those with linear interpolation when observation networks are not too sparse; such robust results are found from numerical simulations with many randomly simulated irregularly spaced observation networks, various observation time intervals, and observation error variances.
The findings also highlight those parts of the framework for which the empirical evidence is relatively sparse, such as the range of possible social learning outcomes, their congruence with sustainability criteria, and the roles of monitoring and cumulative and strategic assessments in shaping EA into an adaptive, learning system.
This may improve their quality particularly over areas where conventional data are sparse, such as the tropics.
Liu and Sun [14] attempted to weight each particle only with corresponding sparse coefficient such that sparse representation needs to be conducted only once.
However, accurate population estimates are sparse although such information is necessary to monitor potential changes in the Antarctic ecosystem.
The basis is selected based on some criteria for sparse reconstruction such as orthonormality and mutual coherence.
In areas with sparse populations, such as along the remote coast of Chile, records are particularly spotty and could be inaccurate.
In this paper, an orthogonal solution is proposed that trades probing overhead for estimation accuracy in sparse networks such as the Internet.
