Titlebook: Analysis of Physiological Systems; The White-Noise Appr Panos Z. Marmarelis,Vasilis Z. Marmarelis Book 19781st edition Springer Science+Bus

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Analysis of Physiological Signals,avail ourselves of this opportunity to present the mathematical preliminaries necessary for the development of the methodology of functional identification of systems (primarily the white-noise approach) that will be discussed in the remainder of this book. In the course of this discussion we presen

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The White-Noise Method in System Identification,nlinearity of the stimulus-response transformation that the system performs and how these domains compare with the dominant natural variation of the stimuli in the system’s environment. As we saw in the previous chapter, the analytical advantages of linear systems are many, and, therefore, they just

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Applicability of the White-Noise Method and the Use of Quasiwhite Test Signals,osscorrelation technique, appears to be a general, straightforward, and powerful approach to a subject where great mathematical complexity is usually encountered. However, the generality and the elegance of the method is bound to be moderated in actual applications by limitations imposed by reality.

Epidural-Space

Methods of Computation of System Kernels,nal relation..Since the formulation of the method by Wiener and his colleagues (Wiener, 1942, 1958; Bose, 1956; Brilliant, 1958; George, 1959; Katzenelson and Gould, 1962, 1964; Lee and Schetzen, 1965; Schetzen, 1965a,b, 1974), one principal difficulty has hampered attempts to apply the method pract

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Tests and Analyses Preliminary to Identification Experiment,d involved if not preceded by considerable preliminary analysis of the system characteristics and the tools available for its study. In addition, the amount of difficulty depends on the nature of the system nonlinearities and the degree of accuracy which we require from the derived characterization

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