• 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