Ranveig Nygaard

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Mx protein is one of several antiviral proteins that are induced by the type I interferons (IFN), IFNalpha and beta, in mammals. In this work induction of a 76 kDa Mx protein by double-stranded RNA (dsRNA) or type I IFN-like activity in Atlantic salmon macrophages, Atlantic salmon fibroblast cells (AS cells) and in Chinook salmon embryo cells (CHSE-214) is(More)
Signal compression is an important problem encountered in many applications. Various techniques have been proposed over the years for addressing the problem. In this paper, we present a time domain algorithm based on the coding of line segments which are used to approximate the signal. These segments are fit in a way that is optimal in the rate distortion(More)
Compression of image contours is an important problem in many contexts. An example is object oriented video coding, where eecient encoding of shape information of arbitrarily shaped objects is a major problem. This paper presents a method for compressing contours by extracting representative points from the original curve. By formulating the point selection(More)
Traditionally, compression of digital ElectroCardio-Gram (ECG) signals has been tackled by heuristical approaches. However, it has recently been demonstrated that exact optimization algorithms perform much better with respect to reconstruction error. Time domain compression algorithms are based on the idea of extracting representative signal samples from(More)
Signal compression is an important problem encountered in many applications. Various techniques have been proposed over the years for addressing the problem. In this paper we present a time domain algorithm based on the coding of line segments which are used to approximate the signal. These segments are t in a way that is optimal in the rate distortion(More)
In this paper we present a signal compression scheme based on coding linear segments approximating the signal. Although the approach is useful for many types of signals, we focus in this paper on compression of ElectroCardioGram (ECG) signals. ECG signal compression has traditionally been tackled by heuristic approaches. However, it has recently been(More)
Storage and transmission of ElectroCardioGram (ECG) signals involve large amounts of data. Techniques for lossy data compression are useful in reducing the needed storage space or transmission time for such signals. Several dedicated time domain methods exist for this purpose, including the AZTEC, CORTES, Turning Point, and FAN algorithms. This article(More)
In this paper we present a time domain signal compression scheme based on the coding of line segments which are used to approximate the signal. These segments are t in a way that is optimal given the number of retained signal samples. Although the approach is useful for many types of signals, we focus in this paper on compression of ElectroCardioGram (ECG)(More)