Results 151 to 160 of about 12,227,892 (191)

Genetic diversity and distribution pattern responses of <i>Picea asperata</i>. [PDF]

Front Plant Sci
Chen Q, Tang X, Yin Y, Ru D, Feng S.
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A practical guide to RRKM theory, its simplified multi-well version AWATAR and master equation modelling of radiative processes.

Phys Chem Chem Phys
Salzburger M, Reimann M, Hartmann JC, Ončák M, Beyer MK.   +4 more
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How far can you go? Extrapolating values of catalytic activity from known protein landscapes in natural and directed evolution.

Chem Soc Rev
Kell DB, Roberts I.
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Ultrasound echo evaluation by K-distribution

1993 Proceedings IEEE Ultrasonics Symposium, 1993
The ultrasonic echo backscattered from tissues is modeled using non-Rayleigh statistics, namely the K distribution. Through simulation using a one dimensional discrete scattering model, the properties of statistics governing the echo envelope are investigated.
Molthen, Robert C., Narayanan, V. Manjo, Shankar, P. M., Reid, J. M., Genis, V., Vergara, L.   +5 more
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The symmetrical n-k distribution

2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754), 2005
This paper specializes and parameterizes the general result presented elsewhere in the literature in order to propose, fully characterize, and investigate the symmetrical n-k distribution. It yields estimators for the involved parameters and uses field measurements to validate the distribution.
Michel Daoud Yacoub, Gustavo Fraidenraich, Hermano Barros Tercius, Fabio Cesar Martins   +3 more
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Recursive K-distribution parameter estimation

IEEE Transactions on Signal Processing, 2005
Recursive estimation of the parameter of the K-distribution is studied and tested. The probability density function (pdf) of the K-distribution is seen as a mixture pdf allowing the application of Titterington's recursive expectation-maximization (EM) technique.
Pei Jung Chung, William J. J. Roberts, Johann F. Böhme   +2 more
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Recursive estimation of K-distribution parameters

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003
We address the problem of estimating parameters of K-distribution. A recursive procedure based on the recursive EM algorithm is derived to find the ML estimates. Recursive EM is a stochastic approximation procedure with a gain matrix derived from the augmented data. Under mild conditions estimates generated by such procedure are characterized by strong
Pei Jung Chung, William J. J. Roberts
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