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Statistical Computation Methods and Algorithms

  • Leonid Yaroslavsky
Chapter

Abstract

By definition, the distribution function P ( V ) of a random variable v is the probability that the random variable does not exceed the value V. The derivative of P ( V ) with respect to V
$$ p\left( v \right) = {\left. {\frac{{dP\left( V \right)}}{{dV}}} \right|_{V = v}} $$
is called the probability distribution density of the random variable v. Digital signals are characterized by discrete analogs of the distribution function and distribution density respectively — the relative share R ( m ) of the samples that do not exceed the given quantized value q, and the rate h ( q ) of the samples having the value q. The latter characteristic is referred to as signal distribution histogram,the former one as cumulative distribution histogram.

Keywords

Power Spectrum Impulse Noise Speckle Noise Digital Holography Speckle Contrast 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2004

Authors and Affiliations

  • Leonid Yaroslavsky
    • 1
  1. 1.Tel Aviv UniversityIsrael

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