No abstract

Acoustic echo is a common phenomenon in voice communication. The interference signal caused by acoustic echo will greatly reduce the quality of voice transmission. Thus, techniques should be applied to diminish acoustic echo. This paper endeavors to introduce the application of adaptive filter in acoustic echo cancellation. Adaptive filter can dynamically adapt its parameters to minimize the difference between its output and the actual echo signal so that the actual echo signal can be eliminated as much as possible. Furthermore, this paper elaborates the operational process of certain common filtering algorithms of adaptive filter and performs comparison of the performance of these filtering algorithms.

No abstract

The non-consensus problems of high order linear time-invariant dynamical homogeneous multi-agent systems are concerned. Based on the conditions of consensus achievement, the mechanisms that lead to non-consensus motions are analyzed. Besides, a comprehensive classification for diverse types of non-consensus phases in accordance to the different conditions is conducted, which is jointly depending on the self-dynamics of agents, the interactive protocol and the graph topology. A series of numerical examples are demonstrated to illustrate the theoretical analysis.