Issue 4 • Oct. 1990

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  • Signal processing via least squares error modeling

    Publication Year: 1990, Page(s):12 - 31
    Cited by:  Papers (66)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1813 KB)

    The signal model presently considered is composed of a linear combination of basis signals chosen to reflect the basic nature believed to characterize the data being modeled. The basis signals are dependent on a set of real parameters selected to ensure that the signal model best approximates the data in a least-square-error (LSE) sense. In the nonlinear programming algorithms presented for comput... View full abstract»

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Aims & Scope

This Magazine ceased production in 1990. The current retitled publication is IEEE Signal Processing Magazine.

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