In this report, we investigate the data transmission model in which a sequence of data is broadcasted to a number of receivers. The receivers, which have different channel capacities, wish to decode the data sequentially at different rates. Our results are applicable to a wide range of scenarios. For instance, it can be employed in the broadcast streaming of a video clip through the internet, s...

Standard parameters of heart rate variability are restricted in measuring linear effects, whereas nonlinear descriptions often suffer from the curse of dimensionality. An approach which might be capable of assessing complex properties is the calculation of entropy measures from normalised periodograms. Two concepts, both based on autoregressive spectral estimations are introduced here. To test ...

This paper presents a new system for the generation of video rate images from voxel based volume data, in which novel approaches have been applied to the problems of shading and lighting. The shading algorithm combines a three dimensional 3 3 3 window of voxels with look up table based shading. A restricted lighting and viewing model reduces calculation complexity without greatly affecting medi...

Very Long Baseline interferometry (VLBI) is a well established technique in radio astronomy for the study of celestial sources at high angular resolution. VLBI is gradually moving to the point where Gbps data rates are becoming routine. A number of experiments have shown that the internet can be used at data rates of several hundred Mbps on production networks. However the use of switched light...

A procedure is described for estimating evolutionary rate matrices from observed site frequency data. The procedure assumes (1) that the data are obtained from a constant size population evolving according to a stationary Wright-Fisher or decoupled Moran model; (2) that the data consist of a multiple alignment of a moderate number of sequenced genomes drawn randomly from the population; and (3)...

We introduce a new methodology for the analysis of heart interbeat interval time series based on the geometric/topological analysis of spaces of frequently occurring motifs (short patterns in the data). We use these methods to identify interesting differential features in data from three patient groups: healthy, congestive heart failure, and atrial fibrillation.

In this article, we present a series of algorithms for estimating the data rate of a signal whose admissible data rates are integer base, integer powered multiples of a known basic data rate. These algorithms can be applied to the Electra radio currently used in the Deep Space Network (DSN), which employs data rates having the above relationship. The estimation is carried out in an autonomous s...

In this paper, we focus on energy disaggregation at low-sampling rates (at 6sec and 1min) and use only active power measurements for training and testing. Specifically, we develop two algorithms: one is a low-complexity, supervised approach based on Decision Trees and another is an unsupervised method based on Dynamic Time Warping. Both proposed algorithms share common pre-classification steps....

We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index of the underlying signal quality of respiratory signals is presented and then used to modify the noise covariance matrix of the KF which discounts the effect of noisy data. The signal qua...