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Networking together hundreds or thousands of cheap microsensor nodes allows users to accurately monitor a remote environment by intelligently combining the data from the individual nodes. These networks require robust wi...

Preface to the Fourth Edition. 1 Biomechanics as an Interdiscipline. 1.0 Introduction. 1.1 Measurement, Description, Analysis, and Assessment. 1.2 Biomechanics and its Relationship with Physiology and Anatomy. 1.3 Scope ...

The newly inaugurated Research Resource for Complex Physiologic Signals, which was created under the auspices of the National Center for Research Resources of the National Institutes of Health, is intended to stimulate c...

Wireless technology is a truly revolutionary paradigm shift, enabling multimedia communications between people and devices from any location. It also underpins exciting applications such as sensor networks, smart homes, ...

Subjects / keywords: image processing, biomedical signal processing, radar, signal processing techniques, statistical methods; Technology: Electrical engineering. Electronics. Nuclear engineering

Subjects / keywords: wireless communication, intelligent computing, signal processing techniques, smart vehicular communication, computational network analysis, smart sensor technology; Science: Mathematics: Instruments and machines: Electro...

Subjects / keywords: Electrocardiography; Signal processing; Digital techniques; Data processing; Digital communications; Electronic books

Subjects / keywords: Kernel functions; Signal processing; Digital techniques

Subjects / keywords: Signal processing; Digital techniques; Internal combustion engines; Automotive sensors

Subjects / keywords: physical layer techniques, network management, network signal processing, neural networks and machine learning, bayesian networks and statistical inference, tensor networks; Technology: Electrical engineering. Electronic...

An approach to the general problem of signal parameter estimation is described. The algorithm differs from its predecessor in that a total least-squares rather than a standard least-squares criterion is used. Although di...

This article studied and compared the two nonprobability sampling techniques namely, Convenience Sampling and Purposive Sampling. Convenience Sampling and Purposive Sampling are Nonprobability Sampling Techniques that a ...

We present a sampling method for Brillouin-zone integration in metals which converges exponentially with the number of sampling points, without the loss of precision of normal broadening techniques. The scheme is based o...

Accurate modeling of geographic distributions of species is crucial to various applications in ecology and conservation. The best performing techniques often require some parameter tuning, which may be prohibitively time...

A generalization of the sampling method introduced by Metropolis et al. (1953) is presented along with an exposition of the relevant theory, techniques of application and methods and difficulties of assessing the error i...

A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented. It is ...

In recent years there has been a growing interest in the study of sparse representation of signals. Using an overcomplete dictionary that contains prototype signal-atoms, signals are described by sparse linear combinatio...