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Non-Stationary Electromagnetics

This book is devoted to investigations of non-stationary electromagnetic processes. It offers a good opportunity to introduce the Volterra;

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Non-Stationary Electromagnetics

This book is devoted to the investigations of non-stationary electromagnetic processes. The investigations are undertaken analytically;

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Non-Gaussian Autoregressive-Type Time Series

-series models into different groups such as linear stationary models with non-Gaussian innovations, linear stationary models with non-Gaussian;

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On the Intrinsic Geometry of Instanton Vacua

. Physically, for both the stationary and non-stationary statistical configurations with and without the statistical fluctuations of the gauge and;

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Learning from Data Streams in Dynamic Environments

This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and;

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Learning from Data Streams in Evolving Environments

evolving non-stationary processes. The goal is to discuss and overview the advanced techniques, methods and tools that are dedicated to manage;

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Discrete Stochastic Processes and Optimal Filtering

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from;

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Discrete Stochastic Processes and Optimal Filtering

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from;

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Multivariate Modelling of Non Stationary Economic Time Series

multivariate models. The authors provide a detailed and extensive study of impulse responses and forecasting in the stationary and non-stationary;

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Cyclostationarity

of data sets with non-stationary behavior and a bridge between basic and applied research on nonstationary processes. It provides students;

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Cyclostationarity Theory and Methods IV

of data sets with non-stationary behavior and a bridge between basic and applied research on nonstationary processes. It provides students;

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Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals

are able to extract information from non-stationary signals such as heart sounds and power electric signals. The methods proposed focus on the;

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Climate Change & Advanced Electromagnetics

CLIMATE CHANGE AND ADVANCED ELECTROMAGNETICS;...

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Surface Electromagnetics

Written by the leading experts in the field, this text provides systematic coverage of the theory, p;...

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Reviews of Physiology, Biochemistry and Pharmacology

latest developments in these rapidly advancing fields. Chapter Stationary and Non-Stationary Ion- and Water Flux Interactions in Kidney;

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Engineering Electromagnetics

Electromagnetics is too important in too many fields for knowledge to be gathered on the fly. Knowin;...

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Statistical Portfolio Estimation

processes are introduced, including non-Gaussian stationary processes, nonlinear processes, non-stationary processes, and the book provides a;

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Statistical Portfolio Estimation

processes are introduced, including non-Gaussian stationary processes, nonlinear processes, non-stationary processes, and the book provides a;

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Fundamentals of Engineering Electromagnetics

Electromagnetics is too important in too many fields for knowledge to be gathered on the fly. A deep;...

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Conceptual Electromagnetics

This is a textbook on electromagnetic fields and waves completely based on conceptual understanding ;...

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Engineering Electromagnetics and Waves, Global Edition

For courses in Electromagnetic Fields & Waves. Electromagnetic Waves continues the applied appr;...

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Time-Frequency Analysis

to researchers and engineers interested in non-stationary signal analysis and processing. It is written by recognized experts in the field.;

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Fundamentals of Applied Electromagnetics, Global Edition

Fundamentals of Applied Electromagnetics is intended for use in one- or two-semester courses in elec;...

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Digital Signal Processing with Matlab Examples, Volume 1

addresses more advanced topics, including the analysis of real-world non-stationary signals and data, e.g. structural fatigue, earthquakes, electro;

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Materials and Strength of Gas Turbine Parts

destruction mechanisms in connection with stationary and non-stationary loading, and types of material damage such as the thermal fatigue. Particular;

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