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Mathematical Analysis of Random Noise-Conclusion

S. O. Rice
- 01 Jan 1945 - 
- Vol. 24, pp 46-156
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This article is published in Bell System Technical Journal.The article was published on 1945-01-01 and is currently open access. It has received 807 citations till now.

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Maximum likelihood estimation-based denoising of magnetic resonance images using restricted local neighborhoods

TL;DR: Experimental results based on the peak signal to noise ratio, structural similarity index matrix, Bhattacharyya coefficient and mean absolute difference from synthetic and real MR images demonstrate the superior performance of the proposed method over other state-of-the-art methods.
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Textural variations in B-mode ultrasonography: A stochastic model

TL;DR: In this article, the role of the imager in texture formation was investigated and it was shown that spatial resolution and texture granularity are not simply related, and that axial and lateral texture are determined by unrelated phenomena.
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Non-linear effects of the statistical model of shallow-water wind waves

TL;DR: In this article, the authors deal with the non-linear effects of shallow-water wind waves and obtain the probability density functions of wave heights, wave phases and velocity of the point mean wave height and mean wave length.
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Gradient histogram: Thresholding in a region of interest for edge detection

TL;DR: The proposed methodology of determining a threshold in a gradient histogram is deduced through rigorous analysis and hence it helps in achieving consistently appreciable edge detection performance.
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Fatigue analysis of offshore platforms subject to sea wave loadings

TL;DR: In this paper, a theoretical method for determining random load fatigue damage on offshore platforms is proposed, based on a rainflow analysis of the dynamic response of individual members to various sea states.