DocumentCode :
2684580
Title :
Patterned complex-valued matrix derivatives
Author :
Hjorungnes, A. ; Palomar, Daniel P.
Author_Institution :
Univ. Grad. Center, Oslo Univ., Kjeller
fYear :
2008
fDate :
21-23 July 2008
Firstpage :
293
Lastpage :
297
Abstract :
A systematic and simple method is proposed for how to find the derivative of complex-valued matrix functions which depend on matrix arguments that contain patterns. The proposed method is developed by means of the chain rule and it is able to handle both linear and nonlinear patterns. One main issue of the proposed method is to identify a matrix function which depends on independent variables and its domain must have the same dimension as the dimension of the set of patterned matrices. In addition, this function must produce all the matrices within the pattern of interest. Some illustrative examples which are relevant for problems in the area of signal processing for communications are presented.
Keywords :
adaptive filters; adaptive signal processing; matrix algebra; complex-valued matrix derivatives; matrix function; nonlinear patterns; signal processing; Adaptive filters; Adaptive signal processing; Gradient methods; Input variables; Jacobian matrices; Linear algebra; Optimization methods; Signal processing; Adaptive filters; Complex-valued matrix; Gradient methods; Jacobian; Linear algebra; Optimization methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop, 2008. SAM 2008. 5th IEEE
Conference_Location :
Darmstadt
Print_ISBN :
978-1-4244-2240-1
Electronic_ISBN :
978-1-4244-2241-8
Type :
conf
DOI :
10.1109/SAM.2008.4606875
Filename :
4606875
Link To Document :
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