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| Author | : Kenneth Chien-ko Chou |
| Publisher | : |
| Total Pages | : 530 |
| Release | : 1991 |
| Genre | : |
| ISBN | : |
| Author | : Kenneth Chien-ko Chou |
| Publisher | : |
| Total Pages | : 265 |
| Release | : 1991 |
| Genre | : Signal processing |
| ISBN | : |
| Author | : Kenneth Chien-ko Chou |
| Publisher | : |
| Total Pages | : 265 |
| Release | : 1991 |
| Genre | : |
| ISBN | : |
| Author | : Xiaoping Shen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 388 |
| Release | : 2012-09-18 |
| Genre | : Technology & Engineering |
| ISBN | : 1461441455 |
Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This book also presents applications in digital signal processing using sampling theory and techniques from various function spaces, filter design, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and statistical learning theory.
| Author | : |
| Publisher | : Springer |
| Total Pages | : 398 |
| Release | : 2012-09-19 |
| Genre | : |
| ISBN | : 9781461441465 |
| Author | : Michèle Basseville |
| Publisher | : |
| Total Pages | : 16 |
| Release | : 1989 |
| Genre | : Kalman filtering |
| ISBN | : |
| Author | : Jianbo Gao |
| Publisher | : John Wiley & Sons |
| Total Pages | : 368 |
| Release | : 2007-12-04 |
| Genre | : Mathematics |
| ISBN | : 0470191643 |
The only integrative approach to chaos and random fractal theory Chaos and random fractal theory are two of the most important theories developed for data analysis. Until now, there has been no single book that encompasses all of the basic concepts necessary for researchers to fully understand the ever-expanding literature and apply novel methods to effectively solve their signal processing problems. Multiscale Analysis of Complex Time Series fills this pressing need by presenting chaos and random fractal theory in a unified manner. Adopting a data-driven approach, the book covers: DNA sequence analysis EEG analysis Heart rate variability analysis Neural information processing Network traffic modeling Economic time series analysis And more Additionally, the book illustrates almost every concept presented through applications and a dedicated Web site is available with source codes written in various languages, including Java, Fortran, C, and MATLAB, together with some simulated and experimental data. The only modern treatment of signal processing with chaos and random fractals unified, this is an essential book for researchers and graduate students in electrical engineering, computer science, bioengineering, and many other fields.
| Author | : Dewey Stanton Tucker |
| Publisher | : |
| Total Pages | : 252 |
| Release | : 2005 |
| Genre | : |
| ISBN | : |
The thesis provides a detailed analysis of the independence structure possessed by multiscale models and demonstrates that such an analysis provides important insight into the multiscale stochastic realization problem. Multiscale models constitute a broad class of probabilistic models which includes the well--known subclass of multiscale autoregressive (MAR) models. MAR models have proven useful in a variety of different application areas, due to the fact that they provide a rich set of tools for various signal processing tasks. In order to use these tools, however, a MAR or multiscale model must first be constructed to provide an accurate probabilistic description of the particular application at hand. This thesis addresses this issue of multiscale model identification or realization. Previous work in the area of MAR model identification has focused on developing algorithms which decorrelate certain subsets of random vectors in an effort to design an accurate model. In this thesis, we develop a set-theoretic and graph-theoretic framework for better understanding these types of realization algorithms and for the purpose of designing new such algorithms.
| Author | : Serguei Primak |
| Publisher | : John Wiley & Sons |
| Total Pages | : 446 |
| Release | : 2005-01-28 |
| Genre | : Technology & Engineering |
| ISBN | : 0470021179 |
Stochastic Methods & their Applications to Communications presents a valuable approach to the modelling, synthesis and numerical simulation of random processes with applications in communications and related fields. The authors provide a detailed account of random processes from an engineering point of view and illustrate the concepts with examples taken from the communications area. The discussions mainly focus on the analysis and synthesis of Markov models of random processes as applied to modelling such phenomena as interference and fading in communications. Encompassing both theory and practice, this original text provides a unified approach to the analysis and generation of continuous, impulsive and mixed random processes based on the Fokker-Planck equation for Markov processes. Presents the cumulated analysis of Markov processes Offers a SDE (Stochastic Differential Equations) approach to the generation of random processes with specified characteristics Includes the modelling of communication channels and interfer ences using SDE Features new results and techniques for the of solution of the generalized Fokker-Planck equation Essential reading for researchers, engineers, and graduate and upper year undergraduate students in the field of communications, signal processing, control, physics and other areas of science, this reference will have wide ranging appeal.
| Author | : Frerich Keil |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 442 |
| Release | : 1999-05-19 |
| Genre | : Computers |
| ISBN | : 9783540658511 |
The application of modern methods in numerical mathematics on problems in chemical engineering is essential for designing, analyzing and running chemical processes and even entire plants. Scientific Computing in Chemical Engineering II gives the state of the art from the point of view of numerical mathematicians as well as that of engineers. The present volume as part of a two-volume edition covers topics such as computer-aided process design, combustion and flame, image processing, optimization, control, and neural networks. The volume is aimed at scientists, practitioners and graduate students in chemical engineering, industrial engineering and numerical mathematics.
