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  2. Oppenheim's sign - Wikipedia

    en.wikipedia.org/wiki/Oppenheim's_sign

    Oppenheim's sign is dorsiflexion of the great toe elicited by irritation downward of the medial side of the tibia. [1] It is one of a number of Babinski-like responses .The sign's presence indicates damage to the pyramidal tract .

  3. Reconstruction from zero crossings - Wikipedia

    en.wikipedia.org/wiki/Reconstruction_from_zero...

    According to Logan, a signal is uniquely reconstructible from its zero crossings if: The signal x ( t ) and its Hilbert transform x t have no zeros in common with each other. The frequency-domain representation of the signal is at most 1 octave long, in other words, it is bandpass - limited between some frequencies B and 2 B .

  4. Signal processing - Wikipedia

    en.wikipedia.org/wiki/Signal_processing

    Download as PDF; Printable version; ... Signal processing is an electrical engineering subfield that focuses on ... According to Alan V. Oppenheim and Ronald W ...

  5. Alan V. Oppenheim - Wikipedia

    en.wikipedia.org/wiki/Alan_V._Oppenheim

    Alan Victor Oppenheim [2] (born 1937) is a professor of engineering at MIT's Department of Electrical Engineering and Computer Science. He is also a principal investigator in MIT's Research Laboratory of Electronics (RLE), at the Digital Signal Processing Group. His research interests are in the general area of signal processing and its ...

  6. Chaos communications - Wikipedia

    en.wikipedia.org/wiki/Chaos_communications

    As it carries the information, the chaotic signal is also called chaotic carrier. Synchronizing these oscillators is similar to synchronizing random neural nets in neural cryptography. When chaos synchronization is used, a basic scheme of a communications device (Cuomo and Oppenheim 1993) is made by two identical chaotic oscillators. One of ...

  7. Hilbert spectral analysis - Wikipedia

    en.wikipedia.org/wiki/Hilbert_spectral_analysis

    Alan V. Oppenheim and Ronald W. Schafer, "Discrete-Time Signal Processing," Prentice-Hall Signal Processing Series, 2 ed., 1999. Huang, et al. "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis." Proc. R. Soc. Lond. A (1998) 454, 903–995

  8. Homomorphic filtering - Wikipedia

    en.wikipedia.org/wiki/Homomorphic_filtering

    Homomorphic filtering has been used to remove the effect of the stochastic impulse train, which originates the sEMG signal, from the power spectrum of the sEMG signal itself. In this way, only information about motor unit action potential (MUAP) shape and amplitude was maintained; this was then used to estimate the parameters of a time-domain ...

  9. Shift-invariant system - Wikipedia

    en.wikipedia.org/wiki/Shift-invariant_system

    Download QR code; Print/export Download as PDF; Printable version; In other projects Wikidata item; Appearance. ... Oppenheim, Schafer, Digital Signal Processing, ...