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Principles of Cognitive Radio
Expert authors draw on fundamental theory to explain the core principles and key design considerations for developing cognitive radio systems.
Focus on Brain Mapping Research
This book includes research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organisation of the neural systems supporting human behaviour. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Coverage includes novel brain imaging methods, analyses for detecting or localising neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioural paradigms and neural-systems modelling.
Change-Point Analysis in Nonstationary Stochastic Models
This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally described by nonstationary stochastic models, which comprise both static and dynamic regimes, linear and nonlinear dynamics, and constant and time-variant structures of such systems. It covers both retrospective and sequential problems, particularly theoretical methods of optimal detection. Such methods are constructed and their characteristics are analyzed both theoretically and experimentally. Suitable for researchers working in change-point analysis and stochastic modelling, the book includes theoretical details combined with computer simulations and practical applications. Its rigorous approach will be appreciated by those looking to delve into the details of the methods, as well as those looking to apply them.
Asymptotic Nonparametric Statistical Analysis of Stationary Time Series
Stationarity is a very general, qualitative assumption, that can be assessed on the basis of application specifics. It is thus a rather attractive assumption to base statistical analysis on, especially for problems for which less general qualitative assumptions, such as independence or finite memory, clearly fail. However, it has long been considered too general to be able to make statistical inference. One of the reasons for this is that rates of convergence, even of frequencies to the mean, are not available under this assumption alone. Recently, it has been shown that, while some natural and simple problems, such as homogeneity, are indeed provably impossible to solve if one only assumes ...
Information Security and Privacy
This book constitutes the refereed proceedings of the 8th Australasian Conference on Information Security and Privacy, ACISP 2003, held in Wollongong, Australia, in July 2003. The 42 revised full papers presented together with 3 invited contributions were carefully reviewed and selected from 158 submissions. The papers are organized in topical sections on privacy and anonymity, elliptic curve cryptography, cryptanalysis, mobile and network security, digital signatures, cryptosystems, key management, and theory and hash functions.
SIP Handbook
Widely adopted by service providers to enable IP telephony, instant messaging, and other data services, SIP is the signaling protocol of choice for advanced multimedia communications signaling. Compiled by noted engineering experts Syed Ahson and Mohammad Ilyas, SIP Handbook: Services, Technologies, and Security of Session Initiation Protocol presents a thorough technical review of all aspects of SIP. It captures the current state of IP Multimedia Subsystem technology and provides a unique source of comprehensive reference material on this subject. SIP Applications for Today and Tomorrow The scope of this volume ranges from basic concepts to future perspectives. Divided into three sections, ...
Applied Data Analytic Techniques For Turning Points Research
This innovative volume demonstrates the use of a range of statistical approaches that examine "turning points" (a change in direction, magnitude, or meaning) in real data. Analytic techniques are illustrated with real longitudinal data from a variety of fields. As such the book will appeal to a variety of researchers including: Developmental researchers interested in identifying factors precipitating turning points at various life stages. Medical or substance abuse researchers looking for turning points in disease or recovery. Social researchers interested in estimating the effects of life experiences on subsequent behavioral changes. Interpersonal behavior researchers looking to identify tu...
Introduction to Statistical Process Control
A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon
Sequential Analysis
Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently. The book reviews recent accomplishments in hypothesis testing and changepoint detecti
Entropy Randomization in Machine Learning
Entropy Randomization in Machine Learning presents a new approach to machine learning—entropy randomization—to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study). Randomized machine-learning procedures involve models with random parameters and maximum entropy estimates of the probability density functions of the model parameters under balance conditions with measured data. Optimality conditions are derived in the form of nonlinear equations with integral components. A new numerical random search method is developed for solving these equations in a probabilistic sense. Along with the theoretical foundations of randomized machine learning, Ent...
