Results 161 to 170 of about 12,227,892 (191)
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Radar detection in K-distributed clutter
IEE Proceedings - Radar, Sonar and Navigation, 1994The paper compares two newly proposed detection schemes for targets in K-distributed clutter: the first implements generalised likelihood ratio test, and the second represents a discrete realisation of the classical Neymann-Pearson detector. Results indicate that the two optimisation strategies yield substantially equivalent performance, but the ...
CONTE E, LOPS M, RICCI, Giuseppe
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The Effect of K-Distributed Clutter on Trackability
IEEE Transactions on Signal Processing, 2016In the field of target tracking, a tremendous amount of work has been done on designing and implementing algorithms. However, much less work has been performed on analyzing whether, for a given target in a given environment, tracking is possible at all. Our recent work developed a framework to answer just that.
Steven Schoenecker +2 more
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The Significance Of The Class Of K-Distributions
SPIE Proceedings, 1988The statistical fluctuations developed by an optical wave, after passing through atmospheric turbulence, have a non-Gaussian nature. The detected optical intensity appears to have two separate time scales of fluctuations. This paper discusses a plausible physical model for the turbulence scattering of an optical wave that would give rise to a two-time ...
Phillips, Ronald L., Andrews, Larry C.
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INVERSE GAUSSIAN k-DISTRIBUTIONS
Journal of Quantitative Spectroscopy and Radiative Transfer, 1999Abstract k-distributions corresponding to Malkmus’ narrow band model are inverse Gaussian distributions. Inverse Gaussian theory developments are therefore directly relevant to gas radiative transfer modeling. The present text illustrates some significant benefits that could be made from this observation: (i) k-distribution formulations are ...
J.L. DUFRESNE +2 more
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Journal of Optics A: Pure and Applied Optics, 1999
A brief review of the history, properties and applications of K-distributed noise is presented. Statistical relationships and generalizations of the model are summarized, and processing techniques developed to extract signals embedded in this kind of noise are briefly discussed.
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A brief review of the history, properties and applications of K-distributed noise is presented. Statistical relationships and generalizations of the model are summarized, and processing techniques developed to extract signals embedded in this kind of noise are briefly discussed.
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Simulating Correlated K-Distributed Clutter
2020 IEEE International Radar Conference (RADAR), 2020A method of simulating the temporal and spatial correlation of k-distributed sea clutter has been developed. Long term correlation is simulated by interpolation and rotation of a correlation Gaussian surface which is then transformed a Gamma “texture” surface by a MNLT (Memoryless Nonlinear Transform).
Ellis Humphreys +3 more
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On low order moments of the homodyned-K distribution
Ultrasonics, 2005Fractional low order moments have been reported as beneficial for sampling computations using the K distribution. However, it has been recently pointed out that this it not the case for the homodyned-K distribution for a tissue discrimination problem. In this paper we show that such an statement is not fully justified. To that end, we follow a standard
Marcos, Martín-Fernández +1 more
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Use of the K-distribution for classification of breast masses
Ultrasound in Medicine & Biology, 2000The K-distribution had been introduced as a valid model to represent the statistics of the envelope of the backscattered echo from phantom and tissue. This paper investigates the efficacy of the parameters of this statistical model; namely, the effective number and the effective cross-section, to characterize breast lesions as benign or malignant ...
P M, Shankar +6 more
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Communication Generation for Cyclic(K) Distributions
1996Communication resulting from references to arrays with general cyclic(k) distributions in data-parallel programs is not amenable to existing analyses developed for block and cyclic distributions. The methods for communication generation presented in this paper are based on exploiting the repetitive nature of array accesses.
Ken Kennedy +2 more
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Estimation of texture parameters in K-distributed clutter
IEE Proceedings - Radar, Sonar and Navigation, 1994The authors analyse some of the problems associated with estimating the order parameter of K-distributed high-resolution radar clutter. They identify the cause of these problems to be the nonlinear inversion of various texture measures to the order parameter of the texture. Accordingly, they propose a reciprocal parameter to describe the order.
LOMBARDO, Pierfrancesco, C. J. Oliver
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