For less specific interactions, appropriate tilts of the helix axis helps achieve matching with the substrate lattice periodicities.
IMS has set an advanced charging approach which achieves matching of traffic and service information [32, 33].
The results demonstrate that both CMIA-H and CMIA-O achieve matching influence blocking performance to the greedy algorithms and consistently outperform other baseline heuristics, while they are several orders of magnitude faster than the greedy algorithms.
This requires reconstruction settings to be chosen so as to achieve matching convergence and spatial resolution across various systems and sites, especially within a multicentre setting [ 48, 58, 59].
An iterative algorithm is designed to achieve matched solutions of these two models.
Hence, it is impossible to recruit good hidden nodes, and thus it usually requires more hidden nodes than traditional neural networks to achieve matched performance.
By replacing the optimal MAP equalizer with a suboptimal, low complexity MMSE equalizer, low complexity turbo equalization is achieved, while still achieving matched filter bound performance using static channels of length five[5].
Consequently, the number of achieved matches varies with the precision of the match strategy due to changing numbers of both false and missed matches.
On the other hand, changing from medium to large match regions (500,000) adds more than twice as many false matches as true matches (an estimated 1,285 versus 515) resulting in a false match rate of 20% among the achieved matches.
Comparing the achieved match rates with those based on simple matching on SLK-581 indicates that using extra information in the match keys (i.e. non SLK-581 data) allowed for variation in reported SLK-581 when matching.
