This work covers sequence-based protein homology detection, a fundamental and challenging bioinformatics problem with a variety of real-world applications. The text first surveys a few popular homology detection methods, such as Position-Specific Scoring Matrix (PSSM) and Hidden Markov Model (HMM) based methods, and then describes a novel...
Connections between the theory of hyperbolic manifolds and the theory of
automata are deeply interwoven in the history of mathematics of this century.
The use of symbol sequences to study dynamical systems originates in the
work of Kocbe [Koc27, Koe29] and Morse [Mor87j, who both used symbol
saliences to code geodesies on a...
In this rigorous account the author studies both discrete-time and continuous-time chains. A distinguishing feature is an introduction to more advanced topics such as martingales and potentials, in the established context of Markov chains. There are applications to simulation, economics, optimal control, genetics, queues and many other topics, and...
Provides a comprehensive and updated study of GARCH models and their applications in finance, covering new developments in the discipline
This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results...
Some of the hardest computational problems have been successfully attacked through the use of probabilistic algorithms, which have an element of randomness to them. Concepts from the field of probability are also increasingly useful in analyzing the performance of algorithms, broadening our understanding beyond that provided by the...
Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP). The applications of DSP are pervasive and include multimedia systems, cellular communication, adaptive network management, radar, pattern recognition, medical signal processing, financial data...
Symmetric Dirichlet forms andtheir associated Markov processes are important and powerful toolsin the theory of Markovprocesses and their applications. In this monograph, wegeneralize the theory to non-symmetric and time dependent semi-Dirichlet forms. Thus, we can cover the wide class of Markov processes and analytic theory which do not...
"…a book with many nice features that has elements of interest for …every subset of the intended audience…"
(Journal of the American Statistical Association, September 2006)
"The author's style is consistently readable. Stripping out all but the barest essential...
Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete...
Anticipatory optimization for dynamic decision making relies on a number of different
scientific disciplines. On a general level, the foundations of the field may be
localized at the intersection of operations research, computer science and decision
theory. Closer inspection reveals the important role of branches such as simulation,...
Increasing performance demands in integrated circuits, together with limited energy budgets, force IC designers to find new ways of saving power. One innovative way is the presented adaptive voltage scaling scheme, which tunes the supply voltage according to the present process, voltage and temperature variations as well as aging. The voltage...
