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To facilitate the analysis, we will assume that the HA processing is linear and time-invariant (at least between two adaptation steps) in this study.
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By choosing α between 0 and 1, the adaptation steps can be continuously varied in between both algorithms, although the relation is not linear.
Needless to say, there are huge differences between the two adaptations, and not only where musical language is concerned.
We present two adaptation heuristics that are completely distributed and require no communication between robots.
First, we describe how we define the adaptation step for these two strategies.
Then, the algorithm alternates between three steps.
Four adaptive BSS filters needed to be computed at each adaptation step.
It uses two steps: a Lagrangian step and a metric-based triangular mesh adaptation step.
Generally, two parameters influencing speed of adaptation process can be taken into consideration: adaptation interval and power adaptation step.
(1) Adaptation step.
But two adaptations ran into difficulties.
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