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In this paper, we introduce a new genetic algorithm, which allows us to refine the estimates of information source symbols and channel estimates obtained by any identification algorithm. Instead of searching the entire space, the proposed algorithm searches for the refined estimates in the subspaces near the initial estimate. Creation of initial guesses by(More)
Every action a business process performs must be explicitly anticipated, designed for and implemented by business professionals. Most of the current techniques specify business processes (BP) without incorporating all four Ws; Who, When, What and Where. These processes when used especially in logistics or supply chain applications will result in a BP(More)
A modification of Moulines’ blind second order statistical Channel Subspace approach is proposed for the identification of single input multiple output finite impulse response channels. The modification exploits the transmitter redundancy introduced by a trailing zero filter bank precoder. The method is shown to be robust to common zeros and channel order(More)
We propose a new technique of frequency synchronization for the up-link in an MC-CDMA system. The frequency offset estimation is done in the frequency domain, by estimating the phase difference between two consecutive MC-CDMA symbols of the user of interest. The phase alternation, caused by transmitted user symbols, is eliminated using the knowledge of the(More)
This paper presents a comb type pilot symbol aided iterative DFT-based channel estimation technique for orthogonal frequency division multiplexing (OFDM) systems with virtual subcarriers (VCs). The algorithm is initialized such that the channel frequency response (CFR) has continuous transition between the active and virtual band. The technique reduces the(More)
Deployment of business process to a mobile environment in a chosen context and in a device independence environment is a difficult task. Business Process is desirable to be deployed to any location or any mobile environment the user tends to be in. The problem in business process deployment is in rapid changes in mobile technologies and user context. In(More)