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Microsensors, MEMS and Smart Devices
Microsensors, MEMS and Smart Devices

Microsensors and MEMS (micro-electro-mechanical systems) are revolutionising the semiconductor industry. A microsystem or the so-called "system-on-a-chip" combines microelectronic circuitry with microsensors and microactuators. This emergent field has seen the development of applications ranging from the electronic nose and...

Nonparametric Tests for Censored Data
Nonparametric Tests for Censored Data

This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most...

Robust Statistics: Theory and Methods (Probability and Statistics)
Robust Statistics: Theory and Methods (Probability and Statistics)
Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and...
Post-Optimal Analysis in Linear Semi-Infinite Optimization (SpringerBriefs in Optimization)
Post-Optimal Analysis in Linear Semi-Infinite Optimization (SpringerBriefs in Optimization)

Post-Optimal Analysis in Linear Semi-Infinite Optimization examines the following topics in regards to linear semi-infinite optimization: modeling uncertainty, qualitative stability analysis, quantitative stability analysis and sensitivity analysis. Linear semi-infinite optimization (LSIO) deals with linear optimization...

Constant Mean Curvature Surfaces with Boundary (Springer Monographs in Mathematics)
Constant Mean Curvature Surfaces with Boundary (Springer Monographs in Mathematics)

The study of surfaces with constant mean curvature (CMC) is one of the main topics in classical differential geometry. Moreover, CMC surfaces are important mathematical models for the physics of interfaces in the absence of gravity, where they separate two different media or for capillary phenomena. Further, as most techniques used in the...

Radar System Performance Modeling, Second Edition
Radar System Performance Modeling, Second Edition
This book addresses the needs of system analysts for radar models and analysis
tools. It describes the basic principles of radar operation, how radar is configured
and used in military and civilian systems, and how to analyze and model radar at the
system level. The book presents and explains equations, computational methods,...
An Introduction to Parametric Digital Filters and Oscillators
An Introduction to Parametric Digital Filters and Oscillators
    Since the 1960s Digital Signal Processing (DSP) has been one of the most intensive fields of study in electronics. However, little has been produced specifically on linear non-adaptive time-variant digital filters.
  • The first book to be dedicated to Time-Variant Filtering
  • Provides a complete...
Fundamentals of Parameterized Complexity (Texts in Computer Science)
Fundamentals of Parameterized Complexity (Texts in Computer Science)

This comprehensive and self-contained textbook presents an accessible overview of the state of the art of multivariate algorithmics and complexity. Increasingly, multivariate algorithmics is having significant practical impact in many application domains, with even more developments on the horizon. The text describes how the multivariate...

MATLAB Linear Algebra
MATLAB Linear Algebra

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

Nonparametric System Identification
Nonparametric System Identification
Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems, this books shows that non-parametric regression can be successfully applied to system identification, and it highlights the achievements in doing so. With emphasis on Hammerstein, Wiener systems, and their...
Six Sigma and Beyond: Statistics and Probability, Volume III
Six Sigma and Beyond: Statistics and Probability, Volume III
This text explains the tools of statistics and how to apply them effectively to improve processes and profitability in an organization, and also delineates the importance of collecting, analyzing, and interpreting data.

Researchers and professionals in all walks of life need to use the many tools offered by the statistical world, but...

Algebraic Geometry and Geometric Modeling (Mathematics and Visualization)
Algebraic Geometry and Geometric Modeling (Mathematics and Visualization)
Algebraic Geometry and Geometric Modeling are two distinct domains of research, with few interactions up to now, though closely linked. On the one hand, Algebraic Geometry has developed an impressive theory targeting the understanding of geometric objects defined algebraically. On the other hand, Geometric Modeling is using every day, in practical...
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