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A time-frequency pooled angular spectrum capable of suppressing spatial aliasing effectively is studied for a widely spaced microphone array to estimate multi-source directions of arrival (DOA) in a reverberant environment based on diffuse noise model and time-frequency sparsity of acoustic signals. By using constant false-alarm rate (CFAR) detection technique, only the high-valued elements very likely...
We investigate the optimal estimation problem in lossy networked control systems where the control packets are randomly dropped without acknowledgment to the estimator. Most existing results for this setup are concerned with the design of controller, while the optimal estimation and its performance evaluation have been rarely treated. In this paper, we show that, unlike many other cases such as intermittent...
In wireless radio communication, symbol rate estimation is very important to modulation signal recognizing, especially in soft radio and wireless sense network etc. Meanwhile, it is very difficult to get high correct rate of estimation. In this paper, we first change signal into pulse sequence and analyze its spectrum. Then wavelet transform is applied to deal with signal and arrive to spectrum pulse...
In this study, we measure, model and analyze characteristics of traffic flows of P2P application Maze by capturing real traffic from an operational network. Maze is a P2P file-sharing system with a centralized, cluster-based search engine and a social network among peers. We report the models for flow arrival interval, flow size, flow duration and flow rate of Maze traffic flows. With the growing...
One of the most attractive self-similar traffic generating methods is ON/OFF model due to its clear physical explanation. However, the simulated traffic may show very strange characteristics, e.g. the estimated Hurst parameters for simulated traffics are larger than 1 and are almost equal despite of their different ON period parameters because of wrong sampling interval. In this paper, we point out...
Recently, peer-to-peer (P2P) applications have generated the majority of Internet traffic. In this study, we model and analyze characteristics of P2P traffic flows by measuring real P2P application data captured from operational network. With lognormal mixture distribution and lognormal distribution, we get accurate statistical models for flow size and flow duration of Maze application traffic. We...
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