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28 November 1983 New Mathematical Tools in Direction Finding and Spectral Analysis
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Linear Algebra (i.e., the algebra of vector spaces) provides widely used mathematical tools and concepts which are today being considered for implementation in special compute architectures. It seems that so many signal processing problems can be expressed and, more importantly, implemented efficiently as a sequence of vector and matrix operations, that a signal processing system with a capability for high speed linear algebra is necessary if the more advanced signal processing algorithms are to be implemented to operate in real time. The purpose of this paper is to support the notion that linear algebra is a sound basis for important signal processing system implementations and, further, to suggest that multilinear algebra (i.e., the algebra of vector, bivector, trivector, etc. spaces) offers an even broader set of signal processing "tools". Examples and ideas from direction finding and time series analysis are discussed.
© (1983) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ralph O. Schmidt "New Mathematical Tools in Direction Finding and Spectral Analysis", Proc. SPIE 0431, Real-Time Signal Processing VI, (28 November 1983);


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