Results 171 to 180 of about 3,119 (218)

Intersymbol interference and error probability

IEEE Transactions on Information Theory, 1966
Using a criterion of minimum average error probability we derive a method for specifying an optimum linear, time invariant receiving filter for a digital data transmission system. The transmitted data are binary and coded into pulses of shape \pm s(t) .
M. R. Aaron, Donald W. Tufts
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Intersymbol Interference as a Natural Code

IEEE Transactions on Communications, 1972
The classical approach of considering intersymbol interference as a modulation problem is replaced by less conventional information decoding considerations. We present the concept of viewing time-dispersive channels as natural convolutional encoders. Several channels are presented as examples and computer simulations exhibit some of the benefits.
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Random geometric series and intersymbol interference

IEEE Transactions on Information Theory, 1973
An interesting and long-standing problem in probability theory is surveyed, and its applications to analyzing the effects of intersymbol interference in digital transmission systems are discussed. Old and new results are presented which enable one to obtain analytical forms for the probability density function of the intersymbol interference in special
Francis S. Hill Jr., Mario A. Blanco
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A contribution to the Nature of Intersymbol Interference

Journal of the Franklin Institute, 1977
Abstract A necessary and sufficient condition on the weight set {h i }, representing the sampled channel response is derived to determine whether the values of intersymbol interference will form a continuous or a discrete set.
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Intersymbol Interference and Noise

2021
With the help of the discrete-time equivalent baseband system model we can now get insight into the two major impairments a signal incurs from the transmitter to the receiver, namely intersymbol interference and noise. For that purpose we separate the term for \(m=k\) from the sum in ( 1.40) and obtain $$\begin{aligned} q(k)=a(k)h(0)+\sum _{\begin ...
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Intersymbol interference with flat fading: Channel capacity

2008 IEEE International Symposium on Information Theory, 2008
This 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, Sergio Verdú, Giuseppe Caire, Shlomo Shamai   +3 more
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Intersymbol Interference in an FM-DCPSK System

IEEE Transactions on Communications, 1974
A digital computer simulation of a frequency-modulation differentially coherent phase-shift-keying (FM-DCPSK) system is described. This simulation program is used to investigate the effect of intersymbol interference on the error-rate performance of the two- and four-phase system. Nyquist channels have been obtained and verified. Performance curves are
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Eliminating intersymbol interference -- A state-space approach

IEEE Transactions on Information Theory, 1972
The problem of eliminating intersymbol interference is studied from the viewpoint of channel-state estimation. The channel state vector, at the beginning of the present message baud, contains the information required to eliminate the effects of past channel inputs.
Neil J. Bershad, Peter A. Vena
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Sharp error bounds for intersymbol interference

IEEE Transactions on Information Theory, 1973
Sharp 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.
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On the Intersymbol Interference Problem for the Gaussian Channel

Bell System Technical Journal, 1971
In 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.
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