Results 301 to 310 of about 451,265 (323)
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On the statistics of block errors in bursty channels

IEEE Transactions on Communications, 1997
In the development of encoding algorithms for image, video, and other mixed media transmissions, it is important to note that the channel "seen" by the applications is the physical channel as modified by the error-correcting mechanisms used at the physical level.
Michele Zorzi, Ramesh R. Rao
openaire   +2 more sources

Statistical analysis on KATAN Block Cipher

2011 International Conference on Research and Innovation in Information Systems, 2011
In this research, we present the analysis on Lightweight Block Cipher; KATAN. This block cipher consists of three algorithms with block sizes of 32/48/64-bit and utilizes an 80-bit key. NIST Statistical Test Suite is used to determine the randomness of output sequence produced by all algorithms.
Norul Hidayah Lot   +2 more
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Statistical thermodynamics of block copolymers: Network statistics

Journal of Macromolecular Science, Part B, 1980
Abstract The swelling behavior of a lamellar domain system of an ABA block copolymer is treated, with account taken of the relative population of the B chains as “loops” and “bridges.” The swelling behavior is not a sensitive function of these configurations, since both types in condensed systems are elastically effective, in contrast to the behavior ...
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Statistical block-based skin detection

2010 5th International Symposium On I/V Communications and Mobile Network, 2010
In this paper, we propose a novel approach to model the human skin color. The underlying approach involves affecting a block's average value at each pixel location, using its surrounding points. The generated skin data are found to follow a generalized Gaussian distribution (GGD) and a mixture of GGDs in the H and S color component, respectively. Next,
Driss Aboutajdine   +4 more
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Statistical Analysis of Tandem Queues with Blocking

Calcutta Statistical Association Bulletin, 2012
Abtsrcat A maximum likelihood estimator (MLE), a consistent asymp- totically normal (CAN) estimator and asymptotic condence limits for the expected number of entities in the system (LS) in a two service point tandem queue with at most one entity in between the service points and busy service point 1 are obtained.
V. S. Vaidyanathan   +3 more
openaire   +2 more sources

A statistical analysis of atrial arrhythmia in A-V block

Journal of Electrocardiology, 1971
Summary In complete A-V block a type of arrhythmia occurs in which atrial cycle length or instantaneous rate is a function of the presence and position of a ventricular QRS complex within that cycle. The immediately following atrial cycle without QRS is invariably longer than the preceding atrial cycle.
Hebbel E. Hoff, John E. Christ
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Statistical versus block fluoropolymers in gene delivery

Journal of Materials Chemistry B, 2018
A statistical fluorocopolymer shows dramatically higher transfection efficiency in gene delivery than a block one.
Echuan Tan   +5 more
openaire   +3 more sources

General Block Designs and Their Statistical Properties

2000
According to one of the basic principles of experimental design, the randomiza-tion principle (see Section 1.1), the experimental units (plots) are to be random-ized before they enter the experiment. Suppose that to apply a general block design, in the sense of Section 2.2, randomization is performed as described by Nelder (1954), i.e., by randomly ...
Tadeusz Caliński, Sanpei Kageyama
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Statistical Analysis on LBlock Block Cipher

2014
In this research paper, we present the statistical analysis on full round lightweight block cipher; LBlock. This block cipher has a fixed block size of 64-bit, utilizes an 80-bit key and executes in 32 rounds. To determine the randomness of ciphertext produced by this algorithm, NIST Statistical Test Suite is used.
Kamaruzzaman Seman   +2 more
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Statistical models as building blocks of neural networks

Communications in Statistics - Theory and Methods, 1997
The interplay of neural networks and statistical modeling is discussed in the context of the classification problem. It is shown that, on the one hand, the statistical modeling approach provides a systematic way of obtaining good initializations in the neural network context, while, on the other, neural networks offer a powerful expansion to classical ...
Antonio Ciampi, Yves Lechevallier
openaire   +2 more sources

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