Results 241 to 250 of about 2,470,912 (293)
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Probability of Error for Quadratic Detectors
Bell System Technical Journal, 1965A procedure is presented for evaluating the performance of a general class of digital detectors which square or multiply signal waves contaminated by gaussian noise. In addition to simplifying and unifying the treatment of a number of previously solved problems and some hitherto unsolved ones, the method achieves a considerable advance toward a ...
Mazo, J. E., Salz, J.
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The Effect of Phase Error on DPSK Error Probability
IEEE Transactions on Communications, 1981Expressions are found for the effect of an error in the delay of the preceding signal, which provides the reference phase for the decoding of the present signal in differential phase-shift-keying reception. The signal-to-noise ratio is allowed to be different for the two signals that are compared by the receiver's phase detector.
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Errors in probability updating behaviour
Journal of Economic Psychology, 1998Abstract It is an empirical fact of life that decision makers make errors in probability updating. In this paper we develop a model to measure this error in a consistent and comparable way (i.e. across different cases the same scale of measurement is involved).
Ouwersloot, J. +2 more
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Symbol-Error Probability and Bit-Error Probability for Optimum Combining With MPSK Modulation
IEEE Transactions on Communications, 2004New expressions are derived for the exact symbol error probability and bit-error probability for optimum combining with multiple phase-shift keying. The expressions are for any numbers of equal-power cochannel interferers and receive branches. It is assumed that the aggregate interference and noise is Gaussian and that both the desired signal and ...
Debang Lao, Alexander M. Haimovich
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Intersymbol interference and error probability
IEEE Transactions on Information Theory, 1966Using 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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The Probability Distribution of Conditional Classification Error
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980The probability distribution of the error incurred by a classification system on a given data set is derived. It is shown that the distribution is mixed binomial. A method for calculating the mixed binomial distribution recursively is proposed.
Josef Kittler, Pierre A. Devijver
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2014
This chapter provides an overview of three probability errors and their impact on legal scholarship. Overoptimism causes people to underestimate their likelihood of experiencing negative events, to overestimate their likelihood of experiencing positive events, and to be overly confident in each of these judgments. Overoptimism can help explain numerous
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This chapter provides an overview of three probability errors and their impact on legal scholarship. Overoptimism causes people to underestimate their likelihood of experiencing negative events, to overestimate their likelihood of experiencing positive events, and to be overly confident in each of these judgments. Overoptimism can help explain numerous
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On the probability of undetected error
2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060), 2002We show that for a code used for error detection or combined error correction and detection in the binary symmetric channel, the probability of an undetected error can have several local maxima. In particular, we construct a code with three local maxima in (0,1/2), a code with five local maxima in (0,1); and a linear code with two local maxima in (0,1 ...
I. Honkala, T. Laihonen
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Relations between entropy and error probability
IEEE Transactions on Information Theory, 1994Summary: The relation between the entropy of a discrete random variable and the minimum attainable probability of error made in guessing its value is examined. While Fano's inequality provides a tight lower bound on the error probability in terms of the entropy, we derive a converse result -- a tight upper bound on the minimal error probability in ...
Meir Feder, Neri Merhav
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On the probability of error of convolutional codes
IEEE Transactions on Information Theory, 1996Summary: New upper and lower bounds and approximations on the sequence, event, first event, and bit-error probabilities of convolutional codes are presented. Each of these probabilities are precisely defined and the relationship between them described. Some of the new bounds and approximations are found to be very close to computer simulations at very ...
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