Results 131 to 140 of about 534 (174)
Some of the next articles are maybe not open access.
Intersymbol interference with flat fading: Channel capacity
2008 IEEE International Symposium on Information Theory, 2008This paper finds the capacity of a linear time-invariant system with a given transfer function, observed in additive Gaussian noise through a memoryless fading channel. A coherent model is assumed where the fading coefficients are known at the receiver (but not the transmitter).
Antonia M. Tulino +3 more
openaire +2 more sources
Sharp error bounds for intersymbol interference
IEEE Transactions on Information Theory, 1973Sharp upper and lower bounds of the Chebyshev type are established for the probability of error due to intersymbol interference and additive Gaussian noise in a digital communication system. The results are in relatively closed form, and the only statistical knowledge assumed about the interference is the peak eye opening and the variance.
openaire +1 more source
Removal of Intersymbol Interference
2018To remove the intersymbol interference I(k) defined in ( 1.42), we may not impose any constraint on the symbol sequence a(k), because the system design should hold for any sequence given by the user at the transmitter. Therefore we can only touch upon the impulse response h(k).
openaire +1 more source
Intersymbol Interference and the P/AR Meter
Bell System Technical Journal, 1970P/AR stands for peak-to-average ratio. The instrumentation to measure this ratio has been assembled and obtains a single number evaluation to the dispersion in a transmission medium by measuring the peak and the full wave rectified average of a pulse stream.1 ...
openaire +1 more source
A transmit diversity scheme for channels with intersymbol interference
2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record, 2002Alamouti (see Journal of Selective Communications, vol.16, no.8, p.1451-58, 1998) proposes a two branch transmit diversity scheme for channels without intersymbol interference. With two transmit antennas and one receive antenna the scheme provides second order diversity. In this paper we derive a new method which handles the corresponding case when the
Erik Lindskog, Arogyaswami Paulraj
openaire +1 more source
On the Intersymbol Interference Problem for the Gaussian Channel
Bell System Technical Journal, 1971In this paper we are concerned with the Holsinger–Gallager model for the continuous-time Gaussian channel. Gallager1 proved a coding theorem for this channel, and Cordaro and Wagner2 showed that the theorem remains valid when the effect of intersymbol interference from previous channel uses is taken into account.
openaire +1 more source
A random riemann zeta function and intersymbol interference
Information Sciences, 1978The probability density function (PDF) of z = Σann−α with n = 1,2,…∞ is considered where {an} are independent, identically distributed, zero mean random variables with equally likely values of ± 1. For 12 < α ⩽ 1 the series diverges; for 1 < α∞ the series converges.
openaire +2 more sources
Joint equalization and coding for intersymbol interference channels
IEEE Transactions on Information Theory, 1997Summary: We present a novel scheme that combines decision feedback equalization (DFE) with high-rate error-detection coding in an efficient manner. The proposed scheme is shown to considerably outperform the conventional practice on channels with high SNR, such as those encountered in twisted-pair telephonia systems. In order to analyze the performance
Daniel M. Yellin +2 more
openaire +2 more sources
A parallel blind demodulator in the presence of intersymbol interference
ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240), 2002This paper proposes a demodulator employing data detectors which do not need a known sequence for its startup, i.e., a parallel blind demodulator, in the presence of intersymbol interference (ISI). This demodulator operates as follows: (1) it includes multiple adaptive maximum-likelihood sequence estimations with per-survivor processing (PSP-MLSEs ...
Hiroshi Kubo +4 more
openaire +1 more source
Calculating Error Probabilities for Intersymbol and Cochannel Interference
IRE Transactions on Communications Systems, 1986The probability of error in a binary symmetric channel with intersymbol interference and additive noise is efficiently calculated by numerical quadrature of a Laplace inversion integral along a contour in the complex plane passing through a saddlepoint of the integrand.
exaly +2 more sources