C. W. Helstrom, Probability and Stochastic Processes for Engineers. 2nd ed. London, U.K.: Macmillan, 1991. Home/Search Document Not in Database Summary Related Articles Check |
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Dynamic Load Distributions for Adaptive Computations on MIMD.. - Kaiser (1996) (Correct)
....a gene as a success of a trial of an experiment. The probability, P, that a gene will be successfully mutated is a constant value for all genes. The probability that a gene will mutate is independent of a neighboring gene mutating. The paragraph given above describes a binomial experiment. See Helstrom (1984). The probability that X number of genes out of N will mutate is given by the binomial 148 distribution. With q=p 1, the probability distribution for X of bxnp n x pq xnx ; Functions are available which produce binomial distributed random deviates as described in Press, ....
Helstrom, C. (1984). Probability and Stochastic Processes for Engineers. New York, NY: Macmillan Publishing.
Performance Improvement of Spread Spectrum Based Image.. - Kutter (1999) (2 citations) (Correct)
....1 2 P ( jY 0 ) 1 2 P ( jY 1 ) 13) where stands for the error. As we have seen, the probability function of the detector statistic, conditioned on a symbol, is the sum of non Gaussian random variables. If the number of terms is large enough we can make use of the central limit theorem [2] and approximate the sum by a Gaussian distribution with mean and variance as derived in Eq. 10) and Eq. 11) respectively. Hence in our case, the conditional distribution of the detector statistic f(r i js i ) is given by: f(r i js i ) 1 p 2 2 i e (r i i ) 2 2 2 i (14) 6 ....
Carl W. Helstrom. Probability and Stochastic Processes for Engineers. Macmillan, 1991.
Modeling and Quantization Techniques for Speech Compression Systems - Gardner (1994) (Correct)
.... ) x T D( x i )xdx; where T (y; M ; V ) is the M shaped hyper ellipsoidal set centered at y with hypervolume V defined by T (y; M ; V ) 8 : x fi fi fi fi fi fi 2 n V 2 jM j 1=n (x Gamma y) T M (x Gamma y) 1 9 = n is the volume of the n dimensional unit sphere [60], and M 0. The proof of this Lemma exactly follows the proof of Lemma 5.3.1 given in [59] Lemma 4.1.1 states that the distortion incurred by quantizing all points in 86 Figure 4.1: High rate Voronoi lattice and elliptical approximation for the sensitivity matrix D(x) diag(1, 3) S i to ....
C. Helstrom, Probability and Stochastic Processes for Engineers. Macmillan, 1984.
Novel Analytical Performance Bounds for Symbol-by-Symbol .. - Baccarelli, Cusani.. (1997) (Correct)
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C. W. Helstrom, Probability and Stochastic Processes for Engineers. 2nd ed. London, U.K.: Macmillan, 1991.
The Watermark Copy Attack - Kutter, Voloshynovskiy, Herrigel (2000) (14 citations) (Correct)
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Carl W. Helstrom. Probability and Stochastic Processes for Engineers. Macmillan, 1991.
On Transformations of Random Vectors - Fessler (1998) (Correct)
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C. W. Helstrom, Probability and stochastic processes for engineers, Macmillan, New York, 1991.
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