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- Complex_normal_distribution abstract "In probability theory, the family of complex normal distributions characterizes complex random variables whose real and imaginary parts are jointly normal, i.e., normally distributed and independent. The complex normal family has three parameters: location parameter μ, covariance matrix Γ, and the relation matrix C. The standard complex normal is the univariate distribution with μ = 0, Γ = 1, and C = 0.An important subclass of complex normal family is called the circularly-symmetric complex normal and corresponds to the case of zero relation matrix and zero mean: . Circular symmetric complex normal random variables are used extensively in signal processing, and are sometimes referred to as just complex normal in signal processing literature.".
- Complex_normal_distribution wikiPageID "24666969".
- Complex_normal_distribution wikiPageRevisionID "585501878".
- Complex_normal_distribution hasPhotoCollection Complex_normal_distribution.
- Complex_normal_distribution subject Category:Complex_numbers.
- Complex_normal_distribution subject Category:Continuous_distributions.
- Complex_normal_distribution subject Category:Multivariate_continuous_distributions.
- Complex_normal_distribution subject Category:Probability_distributions.
- Complex_normal_distribution type Abstraction100002137.
- Complex_normal_distribution type Arrangement105726596.
- Complex_normal_distribution type Cognition100023271.
- Complex_normal_distribution type ComplexNumber113729428.
- Complex_normal_distribution type ComplexNumbers.
- Complex_normal_distribution type ContinuousDistributions.
- Complex_normal_distribution type DefiniteQuantity113576101.
- Complex_normal_distribution type Distribution105729036.
- Complex_normal_distribution type Measure100033615.
- Complex_normal_distribution type MultivariateContinuousDistributions.
- Complex_normal_distribution type Number113582013.
- Complex_normal_distribution type PsychologicalFeature100023100.
- Complex_normal_distribution type Structure105726345.
- Complex_normal_distribution comment "In probability theory, the family of complex normal distributions characterizes complex random variables whose real and imaginary parts are jointly normal, i.e., normally distributed and independent. The complex normal family has three parameters: location parameter μ, covariance matrix Γ, and the relation matrix C.".
- Complex_normal_distribution label "Complex normal distribution".
- Complex_normal_distribution sameAs m.0805jt5.
- Complex_normal_distribution sameAs Q5156587.
- Complex_normal_distribution sameAs Q5156587.
- Complex_normal_distribution sameAs Complex_normal_distribution.
- Complex_normal_distribution wasDerivedFrom Complex_normal_distribution?oldid=585501878.
- Complex_normal_distribution isPrimaryTopicOf Complex_normal_distribution.