Title
Statistics for complex random variables revisited
Abstract
Complex random signals play an increasingly important role in array, communications, and biomedical signal processing and related fields. However, the mathematical foundations of complex-valued signals and tools developed for handling them are scattered in literature. There appears to be a need for a concise, unified, and rigorous treatment of such topics. In this paper such a treatment is provided. Moreover, we establish connections between seemingly unrelated objects such as real differentiability and circularity. In addition, a novel complex-valued extension of Taylor series is presented and a measure for circularity is proposed.
Year
DOI
Venue
2009
10.1109/ICASSP.2009.4960396
ICASSP
Keywords
Field
DocType
rigorous treatment,taylor's series,related field,circularity,mathematical foundation,biomedical signal processing,r-differentiability,complex-valued signal,novel complex-valued extension,complex random signal,complex random variable,important role,real differentiability,taylor series,index terms— complex random variables,complex moments,signal processing,probability density function,estimation,statistics,data mining,series mathematics,random processes,random variables,indexing terms,random variable
Signal processing,Random variable,Series (mathematics),Computer science,Stochastic process,Differentiable function,Statistics,Probability density function,Taylor series
Conference
ISSN
Citations 
PageRank 
1520-6149
2
0.44
References 
Authors
10
3
Name
Order
Citations
PageRank
Jan Eriksson117915.31
Esa Ollila235133.51
Visa Koivunen31917187.81