Matches in DBpedia 2014 for { ?s ?p 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.. }
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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.".