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Advances in Processing and Pattern Analysis of Biological Signals
In recent years there has been rapid progress in the development of signal processing in general, and more specifically in the application of signal processing and pattern analysis to biological signals. Techniques, such as parametric and nonparametric spectral estimation, higher order spectral estimation, time-frequency methods, wavelet transform, and identifi cation of nonlinear systems using chaos theory, have been successfully used to elucidate basic mechanisms of physiological and mental processes. Similarly, biological signals recorded during daily medical practice for clinical diagnostic procedures, such as electroen cephalograms (EEG), evoked potentials (EP), electromyograms (EMG) an...
A Life (Un)Worthy of Living
Based on a variety of empirical materials the study reveals dramatic differences between the way that the German and Israeli societies address the question of a life (un)worthy of living: while in Germany, social, cultural, religious and legal conditions restrict the selection of embryos based on prenatal diagnosis, in Israel they strongly encourage it. A close comparative analysis of the ways that these two societies handle the delicate balance between the quality and sanctity of life illuminates the controversy around reproductive genetics in an original and provocative way. The study is also innovative in its use of contemporary social theory concerning the politics of life in comprehending the differences between two societies positioned at opposite extremes in their adoption of reproductive genetics. It thus offers an original cross-cultural discussion concerning present-day techno-medical manipulations of life itself.
An Uncommon Lawyer
In this unique book Lord Woolf recounts his remarkable career and provides a personal and honest perspective on the most important developments in the common law over the last half century. The book opens with a comprehensive description of his family background, which was very influential on his later life, starting with the arrival of his grandparents as Jewish immigrants to England in 1870. His recollections of his early years and family, education and life as a student lead into his early career as a barrister and as a Treasury Devil, moving on to his judicial career and the many roles taken therein. The numerous standout moments examined include his work on access to the judiciary, pris...
Latent Variable Analysis and Signal Separation
This book constitutes the proceedings of the 10th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2012, held in Tel Aviv, Israel, in March 2012. The 20 revised full papers presented together with 42 revised poster papers, 1 keynote lecture, and 2 overview papers for the regular, as well as for the special session were carefully reviewed and selected from numerous submissions. Topics addressed are ranging from theoretical issues such as causality analysis and measures, through novel methods for employing the well-established concepts of sparsity and non-negativity for matrix and tensor factorization, down to a variety of related applications ranging from audio and biomedical signals to precipitation analysis.
Latent Variable Analysis and Signal Separation
This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing.
Advanced Trends in Wireless Communications
Physical limitations on wireless communication channels impose huge challenges to reliable communication. Bandwidth limitations, propagation loss, noise and interference make the wireless channel a narrow pipe that does not readily accommodate rapid flow of data. Thus, researches aim to design systems that are suitable to operate in such channels, in order to have high performance quality of service. Also, the mobility of the communication systems requires further investigations to reduce the complexity and the power consumption of the receiver. This book aims to provide highlights of the current research in the field of wireless communications. The subjects discussed are very valuable to communication researchers rather than researchers in the wireless related areas. The book chapters cover a wide range of wireless communication topics.
Integrated Sensing and Communications
The coming generations of wireless network technologies will serve, not only as a means of connecting physical and digital environments, but also to set the foundation for an intelligent world in which all aspects are interconnected, sensed, and endowed with intelligence. Beyond merely providing communication capabilities, future networks will have the capacity to "see" and interpret the physical world. This development compels us to re-imagine the design of current communication infrastructures and terminals, taking into account crucial aspects such as fundamental constraints and tradeoffs, information extraction and processing technologies, issues of public security and privacy, as well as...
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Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, June 14-16, 1999, Caesarea, Israel
Contains papers from a June 1999 workshop, covering theories, techniques, implementations, and applications of statistical signal processing, with particular emphasis on methods involving the use of higher order statistics (HOS). Papers represent the latest advances in areas of signal processing for communications, convolutive mixtures, HOS-based signal processing theory and methods, heavy-tailed models and processing, Bayesian methods of signal processing, non-stationary signal processing, and HOS-signal processing applications. Specific subjects include higher-order statistical models of visual images, cumulant matrix subspace algorithms for blind single FIR channel identification, and Bayesian wavelet denoising using Besov priors. Lacks a subject index. Annotation copyrighted by Book News, Inc., Portland, OR.
ICASSP '95
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