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Adaptive Algorithms For Symbol Period Estimation
"... A leastmeansquare (LMS) and a recursiveleastsquare (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 betwee ..."
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A leastmeansquare (LMS) and a recursiveleastsquare (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
Culture in action: Symbols and strategies
 American Sociological Review
, 1986
"... Culture influences action not by providing the ultimate values toward which action is oriented, but by shaping a repertoire or "tool kit " of habits, skills, and styles from which people construct "strategies of action. " Two models of cultural influence are developed, for settle ..."
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Cited by 482 (0 self)
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, 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
symbol period and the timing o¤set
"... A robust synchronization procedure for blind estimation of the ..."
Estimation of the symbol period: the frequency offset case
 in XI European Signal Processing Conference (EUSIPCO
, 2002
"... We address the blind equalization of a telecommunication signal, the characteristics of which are totally unknown (channel, symbol period, alphabet of the symbols, frequency offset). In [1] was proposed a methodology originating from deconvolution ideas, for jointly estimating the symbol period ..."
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Cited by 2 (1 self)
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We address the blind equalization of a telecommunication signal, the characteristics of which are totally unknown (channel, symbol period, alphabet of the symbols, frequency offset). In [1] was proposed a methodology originating from deconvolution ideas, for jointly estimating the symbol period
OnLine Adaptive Estimation Of Symbol Period
 In Proc. Military Communications Conf
, 1997
"... The application of the leastmeansquare (LMS) and recursiveleastsquare (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 are develope ..."
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Cited by 1 (1 self)
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The application of the leastmeansquare (LMS) and recursiveleastsquare (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
Capacity of a Mobile MultipleAntenna Communication Link in Rayleigh Flat Fading
"... We analyze a mobile wireless link comprising M transmitter and N receiver antennas operating in a Rayleigh flatfading environment. The propagation coefficients between every pair of transmitter and receiver antennas are statistically independent and unknown; they remain constant for a coherence int ..."
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Cited by 495 (22 self)
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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
Joint Blind Equalization And Estimation Of The Symbol Period: A Contrast Function Approach.
, 2001
"... 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 sig ..."
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Cited by 1 (1 self)
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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
Performance of PCCOFDM with overlapping symbol periods in a multipath channel
 IEEE Globecom
, 2000
"... Abstract Polynomial cancellation coded orthogonal frequency division multiplexing (PCCOFDM) with overlapping symbol periods is a modulation technique which overcomes many of the disadvantages of OFDM PCCOFDM is much less sensitive to frequency offset and Doppler spread than OFDM. Only the length ..."
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Cited by 3 (3 self)
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Abstract Polynomial cancellation coded orthogonal frequency division multiplexing (PCCOFDM) with overlapping symbol periods is a modulation technique which overcomes many of the disadvantages of OFDM PCCOFDM is much less sensitive to frequency offset and Doppler spread than OFDM. Only the length
Frequency Domain Equalization for PCCOFDM with overlapping symbol periods
"... Polynomial cancellation coding (PCC) is a coding method for orthogonal frequency division multiplexing (OFDM) in which the information to be transmitted is modulated onto weighted groups of subcarriers rather than onto individual subcarriers. It has previously been shown that compared with ordinary ..."
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the benefits of PCCOFDM 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 twodimensional. In this paper the results are presented for simulations of a number of different equalizer structures. It is shown
The Detection, Symbol Period and Chip Width Estimation of DSSS Signals Based on DelayMultiply, Correlation and Spectrum Analysis
"... Abstract—Based on the prominent characteristic that the delaymultiply 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 signal ..."
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Abstract—Based on the prominent characteristic that the delaymultiply 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
Results 1  10
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