A least-mean-square (LMS) and a recursive-least-square (RLS) algorithm are derived for estimation of the symbol period in communication signals. The algorithms are based on measurements of the time elapsed between two consecutive transitions detected in noisy signals. Number of symbol periods

, for settled and unsettled cultural periods. In settled periods, culture independently influences action, but only by providing resources from which people can construct diverse lines of action. In unsettled cultural periods, explicit ideologies directly govern action, but structural opportunities for action

A robust synchronization procedure for blind estimation of the

We address the blind equalization of a telecommunica-tion signal, the characteristics of which are totally un-known (channel, symbol period, alphabet of the sym-bols, frequency offset). In [1] was proposed a method-ology originating from deconvolution ideas, for jointly estimating the symbol period

The application of the least-mean-square (LMS) and recursive-least-square (RLS) algorithms to the estimation of symbol period is discussed. The algorithms are based on the measurements of time between two consecutive detected transitions in noisy waveforms. Two versions of the algorithm

interval of T symbol periods, after which they change to new independent values which they maintain for another T symbol periods, and so on. Computing the link capacity, associated with channel coding over multiple fading intervals, requires an optimization over the joint density of T M complex transmitted

The blind estimation of the symbol period of an unknown linearly modulated signal is addressed. We propose an original methodology relying on the concept of blind deconvolution, which does not suffer from the drawbacks of the classical approaches relying upon the cyclostatinarity of the received

Abstract- Polynomial cancellation coded orthogonal frequency division multiplexing (PCC-OFDM) with overlapping symbol periods is a modulation technique which overcomes many of the disadvantages of OFDM PCC-OFDM is much less sensitive to frequency offset and Doppler spread than OFDM. Only the length

the benefits of PCC-OFDM without loss of bandwidth efficiency is to overlap the transmitted symbols. At the receiver an equalizer is used to recover the data. The equalizers are two-dimensional. In this paper the results are presented for simulations of a number of different equalizer structures. It is shown

Abstract—Based on the prominent characteristic that the delay-multiply signals of the direct sequence spread spectral (DSSS) signals are periodical signals, the paper proposes an efficient method for the detection of DSSS signals: the detection, symbol period and chip width estimation of DSSS