Neel V. Karkhanis

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While many algorithms exist for accurate extraction of formant frequencies from a speech waveform, these algorithms are not typically shown to be robust in the presence of highly-transient background noise such as competing speech waveforms. Preliminary results are presented from an algorithm using time-varying adaptive filters that appears to be robust in(More)
MedScanSonics Inc. (MS<sup>2</sup>)'s CADSCAN<sup>&#174;</sup>and acoustic ISOMAC<sup>&#174;</sup>sensors combine state-of-the-art non-invasive acoustic sensing and proprietary Wavelet Transform algorithms with fast DSP core hardware to quickly detect and locate coronary arterial stenoses with near-pinpoint accuracy in real-time.
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