Ranveig Nygaard

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Compression of digital ElectroCardioGram (ECG) signals has traditionally been tackled by heuristical approaches. Recently , it has been demonstrated [1] that exact optimization algorithms outclass these heuristical approaches by a wide margin with respect to reconstruction error. As opposed to traditional time-domain algorithms, where some heuristic is used(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)
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)
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)
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 time domain signal compression 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 sense. The approach is applicable to many types of signals, but in this paper we focus on the compression of ElectroCardioGram (ECG) signals.(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)
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