<P>Parallel and distributed computer systems are built to close the gap between the demand for high-performance computing and the computing power available using standalone single-processor machines...
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Parallel and distributed computer systems are built to close the gap between the demand for high-performance computing and the computing power available using standalone single-processor machines. Traffic in networks connecting such systems is typically characterized by its distribution in time and space. Three approaches can be applied to determine the related network performance: measurement, simulation, [...]
Comprehensive and in-depth treatment of analog integrated circuit analysis and design, featuring new and expanded coverage of CMOS circuits and other key advanced technologies. Also includes new information on fully differential amplifiers and common-mode feedback, as well as two-port feedback analysis. Previous edition: c1993. DLC: Linear integrated circuits--Computer-aided design.
The fourth edition features coverage of cutting edge topics--more advanced CMOS device electronics to include short-channel effects, weak inversion and impact ionization. In this resourceful book find:
* Coverage of state-of-the-art IC processes shows how modern integrated circuits are fabricated, including recent issues like heterojunction bipolar transistors, copper interconnect and low permittivity dielectric materials
* Comprehensive and unified treatment of bipolar and CMOS circuits helps readers design real-world amplifiers in silicon.
THE CLASSIC APPROACH TO CUTTING-EDGE ANALYSIS AND DESIGN In this Fourth Edition of ANALYSIS AND DESIGN OF ANALOG INTEGRATED CIRCUITS, Paul Gray and Robert Meyer have teamed up with two new coauthors-Paul Hurst and Stephen Lewis-to provide a current, comprehensive and in-depth treatment of analog integrated circuit analysis and design. The authors combine bipolar, CMOS, and BICMOS analog integrated-circuit design into a unified presentation that stresses their commonalties and highlights their differences. Readers will gain valuable insights into the Read more...
The providing a comprehensive overview of the mathematical theory of Fourier analysis, with straightforward verifications of its results and formulas, and clear indications of the limitations of those results of formulas. Designed to help readers to handle more sophisticated mathematics. DLC: Fourier analysis.
Fourier analysis is one of the most useful and widely employed sets of tools for the engineer, the scientist, and the applied mathematician. As such, students and practitioners in these disciplines need a practical and mathematically solid introduction to its principles. They need straightforward verifications of its results and formulas, and they need clear indications of the limitations of those results and formulas. Principles of Fourier Analysis furnishes all this and more. It provides a comprehensive overview of the mathematical theory of Fourier analysis, including the development of Fourier series, "classical" Fourier transforms, generalized Fourier transforms and analysis, and the discrete theory. Much of the author's development is strikingly different from typical presentations. His approach to defining the classical Fourier transform results in a much cleaner, more coherent theory that leads naturally to a starting point for the generalized theory. He also introduces a new generalized theory based on the use of Gaussian test functions that yields an even more general -yet simpler -theory than usually presented. Principles of Fourier Analysis stimulates th Read more...
The providing a comprehensive overview of the mathematical theory of Fourier analysis, with straightforward verifications of its results and formulas, and clear indications of the limitations of those results of formulas. Designed to help readers to handle more sophisticated mathematics. DLC: Fourier analysis.
Fourier analysis is one of the most useful and widely employed sets of tools for the engineer, the scientist, and the applied mathematician. As such, students and practitioners in these disciplines need a practical and mathematically solid introduction to its principles. They need straightforward verifications of its results and formulas, and they need clear indications of the limitations of those results and formulas. Principles of Fourier Analysis furnishes all this and more. It provides a comprehensive overview of the mathematical theory of Fourier analysis, including the development of Fourier series, "classical" Fourier transforms, generalized Fourier transforms and analysis, and the discrete theory. Much of the author's development is strikingly different from typical presentations. His approach to defining the classical Fourier transform results in a much cleaner, more coherent theory that leads naturally to a starting point for the generalized theory. He also introduces a new generalized theory based on the use of Gaussian test functions that yields an even more general -yet simpler -theory than usually presented. Principles of Fourier Analysis stimulates th Read more...

Giovanni Parmigiani, Elizabeth S. Garett, Rafael A. Irizarry, Scott L. Zeger
“The Analysis of Gene Expression Data"
Springer | 2003-04-08 | ISBN:0387955771 | PDF | 504 pages | 14,8 Mb
This book presents practical approaches for the analysis of data from gene expression microarrays. Each chapter describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. Methods cover all aspects of statistical analysis of microarrays, from annotation and filtering to clustering and classification. Chapters are written by the developers of the software. All software packages described are free to academic users. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences. Some chapters describe simple menu-driven software in a user-friendly fashion, and are designed to be accessible to microarray data analysts without formal quantitative training. Most chapters are directed at microarray data analysts with master-level training in computer science, biostatistics or bioinformatics. A minority of more advanced chapters are intended for doctoral students and researchers. The team of editors is from the Johns Hopkins Schools of Medicine and Public Health and has been involved with developing methods and software for microarray data analysis since the inception of this technology. Giovanni Parmigiani is Associate Professor of Oncology, Pathology and Biostatistics. He is the author of the book on "Modeling in Medical decision Making," a fellow of the ASA, and a recipient of the Savage Awards for Bayesian statistics. Elizabeth S. Garrett is Assistant Professor of Oncology and Biostatistics, and recipient of the Abbey Award for statistical education. Rafael A Irizarry is Assistant Professor of Biostatistics, and recipient of the Noether Award for non-parametric statistics. Scott L. Zeger is Professor and chair of Biostatistics. He is co-author of the book "Longitudinal Data Analysis," a fellow of the ASA and recipient of the Spiegelman Award for public health statistics.