Egon Hansen

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A generalized sinusoidal model for speech signal processing is studied. The main feature of the model is that the amplitude of each sinusoidal component is allowed to vary exponentially with time. We propose to use the model in transitional speech segments such as speech onsets and voiced/un-voiced transitions. Computer simulations with natural speech(More)
Venous gas embolism is common after laparoscopic surgery but is only rarely of clinical relevance. We present a 52 year old woman undergoing laparoscopic treatment for liver cysts, who also underwent cholecystectomy. She was successfully extubated. However, after a few minutes she developed cardiac arrest due to a venous carbon dioxide (CO2) embolism as(More)
BACKGROUND Emergency abdominal surgery carries a 15% to 20% short-term mortality rate. Postoperative medical complications are strongly associated with increased mortality. Recent research suggests that timely recognition and effective management of complications may reduce mortality. The aim of the present trial is to evaluate the effect of postoperative(More)
We present the use of a cross-correlated quantization noise model in the recently proposed Kalman innovation speech coding scheme. Computer simulations and informal listening tests indicate that the incorporation of a cross-correlated noise model yields an improvement in both SNR and perceptual quality when compared to a uncorrelated noise model.
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