Their main disadvantages are that analog representations are limited in precision typically a few decimal places but fewer in complex mechanisms and general-purpose devices are expensive and not easily programmed.
Time-frequency representations are some of the main tools for nonparametric instantaneous frequency estimation [14].
The two main data structures used to store network graph representations are described below.
The main object of representations is to help interpretation, understanding, and opinion formation[ 6, 7].
Constructing the same representation for all datasets and integrating these representations is the main intuition behind kernel fusion methods.
The main criticisms of proportional representation are that it can lead to unstable coalition governments, because more parties are successful in elections, and that it can weaken the local ties between electors and their representatives.
The main advantages of these new representation are the easyness of understanding, implementation, use and support.
The other one main problem of sparse representation is dictionary learning.
The main purpose of this representation is for finding the probability of occurrence of various levels of (extreme) deviations.
The main advantage of this representation is the fact that the specification is dynamically updated according to the information obtained from the implementation.
