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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    The journal of VLSI signal processing systems for signal, image, and video technology 12 (1996), S. 159-175 
    ISSN: 1573-109X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract Moment invariants play an important role in pattern recognition and computer vision. They have the nice properties of being invariant under translation, rotation and scaling. In this paper, we propose a new systolic array for computing ordinary moments from which moment invariants can be derived. The array exploits parallelism of the computation maximally and has an ideal time complexity ofO(n). Each computation step involves a single addition only and is thus far superior to most existing solutions that require multiplication. The systolic array can be directly implemented in VLSI and we also provide an estimate of the realizability of the array in a 0.8 micron BiCMOS technology. To achieve effective tradeoff between area and time requirement, we also propose a scalable array that allows us to fold the computation into a much smaller area. Our solution is suitable for both binary images and gray level images and is thus superior to an earlier work that has similar characteristics.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Medical & biological engineering & computing 30 (1992), S. 32-40 
    ISSN: 1741-0444
    Keywords: Brainstem auditory evoked response ; Evoked potentials ; Maximum length sequence
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Notes: Abstract The traditional brainstem auditory evoked response (BAER) measurement technique (ensemble averaging) is time-consuming and is not acceptable for some time-critical clinical applications. In the paper the application of a pseudorandom binary sequence, the maximum length sequence, to human BAER measurements is examined. This technique permits a faster click rate to stimulate the test subject, and obtaines a higher signal-to-noise ratio (SNR) response through deconvolution. When compared with conventional averaging, the method can result in an improved SNR or in faster measurement of BAER. The theory of the technique and the experimental setup are presented, and theoretical analysis on the SNR improvement by this technique against averaging is also given. Actual measurements of BAER on both humans and cats indicate that this technique is effective, especially when the measurement time is not too long, or the number of trials is not too large.
    Type of Medium: Electronic Resource
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