First, A modified linear quadratic gauss (MLQG) congestion controller with the use of frequency domain filter and the fractal auto regressive integral moving average (FARIMA) model is given for long range dependent networks.
In this paper, a detailed study of the technique of intelligent intrusion detection combined with the technology of kalman filter, artificial neural network and data mining is made. These studies are mainly divided into two parts. One is to apply the principle of signal processing and noise cancellation to the field of intelligent intrusion detection, design kalman-filter based and ANN-filter based algorithms.
It implements a routine to analyze the important protocols in the TCP/IP protocol stack,such as Ethernet,IP,TCP,UDP and HTTP,on the basis of the Winpcap library and its BPF mechanism to capture and filter data on the network interface card.
The paper explained Rough Set application in the junk e-mail filter especially,and has carried on the experiment contrast to a large number of data,the test has proved Rough Set filters' feasibility and dependability of technology in the junk e-mail.
We characterize the wavelet multipliers, as well as the scaling function multipliers and low pass filter multipliers.
For compactly supported gm, n (FIR filter banks) we prove an exponential rate of convergence and derive explicit expressions for the involved constants.
This, in turn, is used for designing local orthogonal bases obtained by unitary transformations of a single prototype filter.
This in turn, is used for designing local orthogonal bases obtained by unitary transformations of a single prototype filter.
The measure for uncertainty is a product of two factors evaluating the frequency selectivity in comparison with the ideal filter and the effective length of the filter in the digital domain, respectively.