A wavelet-based electrocardiogram (ECG) data compression algorithm is proposed in this
paper. The ECG signal is first preprocessed, the discrete wavelet transform (DWT) is then …

Signal processing today is performed in the vast majority of systems for ECG analysis and
interpretation. The objective of ECG signal processing is manifold and comprises the …

In this paper, we review a general framework for the optimal bit allocation among dependent
quantizers based on the minimum maximum (MINMAX) distortion criterion. The pros and …

This paper presents an ECG compression algorithm based on the optimal selection of
wavelet filters and threshold levels in different subbands that achieve maximum data volume …

Animation techniques for controlling passive simulation are commonly based on an
optimization paradigm: the user provides goals a priori, and sophisticated numerical …

In this article, we address the issue of operationally optimal shape encoding, which is a step
in the direction of globally optimal resource allocation in object-oriented video. After an …

Signal compression is an important problem encountered in many applications. Various
techniques have been proposed over the years for addressing the problem. Here, the …

In1 the (finite) two-dimensional bin packing problem (2BP) we are given a set of n
rectangular items j∈ J={1,..., n}, each having width wj and height hj, and an unlimited …

Transmission techniques of biomedical signals through communication channels are
currently an important issue in many applications related to clinical practice. These …

This paper presents a hybrid technique for the compression of ECG signals based on DWT
and exploiting the correlation between signal samples. It incorporates Discrete Wavelet …