Kenneth C. Chou

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An overview is provided of the several components of a research effort aimed at the development of a theory of multiresolution stochastic modeling and associated techniques for optimal multiscale statistical signal and image processing. As described, a natural framework for developing such a theory is the study of stochastic processes indexed by nodes on(More)
In this paper we describe and analyze a class of multiscale stochastic processes which are modeled using dynamic representations evolving in scale based on the wavelet transform. The statistical structure of these models is Markovian in scale, and in addition the eigenstructure of these models is given by the wavelet transform. The implication of this is(More)
Spurred by the emerging theory of multiscale representations of signals and wavelet transforms, researchers in the signal and image processing community have developed multiresolution processing algorithms. These algorithms have promise because they are computa-tionally eecient, especially in 2D, and because they are applicable to a wide variety of(More)
The membrane potential in murine epididymal sperm was determined with a voltage-sensitive, fluorescent probe. In freshly collected sperm, the potential was inside-negative, viz., -13 mV, and was associated with an intracellular K+ concentration of about 122 mM. Following incubation of sperm in a medium capable of sustaining capacitation and fertilization(More)
The intracellular free Ca2+ concentration in ejaculated, porcine sperm was determined with a fluorescent, Ca2(+)-specific probe, Fura 2. Following suspension of sperm in a medium capable of sustaining capacitation and the acrosome reaction, the intracellular [Ca2+] increased from an initial value of about 75 nM to a peak value of 130 nM, after about 4 to 5(More)
In this paper a method of estimating the conductivity in a bounded 2-D domain at multiple spatial resolutions given boundary excitations and measurements is presented. The problem is formulated as a maximum-likel ihood estimation problem and an algorithm that consists of a sequence of estimates at successively finer scales is presented. By exploiting the(More)