Higher Order Statistics in a mmWave Propagation Environment

Robust Higher Order Statistics

Sample estimates of moments and cumulants are known to be unstable in the presence of outliers. This problem is especially severe for higher order statistics, like kurtosis, which are used in algorithms for independent components analysis and projection pursuit. In this paper we propose robust generalizations of moments and cumulants that are more insensitive to outliers but at the same time re...

Higher Order Demand Propagation

In this report a new backward strictness analysis for functional languages is presented. It is called higher order demand propagation and is applicable to a realistic non-strict functional language, which has a polymorphic type system and supports higher order functions and user definable algebraic data types. This report defines a semantics for higher order demand propagation and relates it to...

Compressive Higher Order Cyclostationary Statistics

The application of nonlinear transformations to a linearly modulated communication signal for the purpose of revealing hidden periodicities has proven to be useful for automatic modulation recognition (AMR). The fact that the hidden periodicities, referred to as Higher Order Cyclostationary Statistics (HOCS), are compressible in the Fourier domain motivates the use of compressive sensing (CS) a...

WENOCLAW: A Higher Order Wave Propagation Method

Higher Order Moments and Recurrence Relations of Order Statistics from the Exponentiated Gamma Distribution

Order statistics arising from exponentiated gamma (EG) distribution are considered. Closed from expressions for the single and double moments of order statistics are derived. Measures of skewness and kurtosis of the probability density function of the rth order statistic for different choices of r, n and /theta are presented. Recurrence relations between single and double moments of r...