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Statistical Methods Of Geophysical Data Processing

This textbook contains a consideration of the wide field of problems connected with statistical methods of processing of observed data;

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Application of Soft Computing and Intelligent Methods in Geophysics

This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural;

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Data Analysis Methods In Physical Oceanography

acquisition and recording, dataprocessing and presentation, statistical methods and error handling,analysis of spatial data fields, and;

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Covariance Analysis for Seismic Signal Processing

This volume is intended to provide the geophysical signal analyst with sufficient material to understand the usefulness of data covariance;

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Basic Exploration Geophysics

and electromagnetic field surveying, and geophysical well logging. Covers modern field procedures and instruments, as well as data processing;

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Geophysics for the Mineral Exploration Geoscientist

. Emphasising extraction of maximum geological information from geophysical data, the book also explains petrophysics, data modelling and common;

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Electrical Methods in Geophysical Exploration of Deep Sedimentary Basins

such as instrumentation and data processing are deliberately kept to a minimum.;

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Geophysical Methods for Cultural Heritage Management

historical contest; an explanation of the problem to solve; a choice of the geophysical methods; the setting of the procedure of data acquisition;

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Geotechnical and Geophysical Site Characterization

interpretation techniques, statistical analysis of test data, geo-environmental site characterization, soil sampling methods, multi-dimensional;

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Statistical Data Analysis Based on the L1-Norm and Related Methods

This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on;

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The Classification of Data under Autoregressive Circulant Covariance

The problem of classification is an old one that has application in geophysical, medical, signal processing and many other fields. There;

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Principles Electromagnetic Methods Surfa

conducting media. It describes the theoretical and physical principles of the main geophysical methods using electromagnetic fields, including;

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Computational Methods for Data Analysis

This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and;

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Polarimetric Microwave Imaging

the geophysical parameter retrieval of PolSAR data, polarimetric interferometric SAR information processing, compact polarimetric;

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Polarimetric Microwave Imaging

the geophysical parameter retrieval of PolSAR data, polarimetric interferometric SAR information processing, compact polarimetric;

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Geophysical Electromagnetic Theory and Methods

In this book the author presents the state-of-the-art electromagnetic (EM) theories and methods employed in EM geophysical;

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Intro To Geophysical Exploration

This new edition of the well-established Kearey and Brooks text is fully updated to reflect the important developments in geophysical;

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Digital Signal Processing (DSP) with Python Programming

The parameter estimation and hypothesis testing are the basic tools in statistical inference. These technics occur in many applications;

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Mathematical Problems in Data Science

and both statistical and computational methods for data analysis. Initial chapters focus on exploring the properties of incomplete data sets;

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Spectral Methods in Geodesy and Geophysics

of perceiving global and regional geodetic and geophysical data, namely from the perspective of the frequency, or spectral, domain rather than the;

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Spectral Methods in Geodesy and Geophysics

of perceiving global and regional geodetic and geophysical data, namely from the perspective of the frequency, or spectral, domain rather than the;

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Statistical Image Processing and Multidimensional Modeling

many important data analysis methods developed in this text for such statistical image problems. Examples abound throughout remote sensing;

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Statistical Image Processing and Multidimensional Modeling

many important data analysis methods developed in this text for such statistical image problems. Examples abound throughout remote sensing;

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Statistical Methods in Control & Signal Processing

Presenting statistical and stochastic methods for the analysis and design of technological systems in engineering and applied areas, this;

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Applied Bayesian Statistical Studies in Biology and Medicine

necessary to stimulate awareness of the importance of statistical techniques (and of the possible traps that they can hide) by using real data;

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The EM Algorithm and Related Statistical Models

data problems. The text covers current topics including statistical models with latent variables, as well as neural network models, and Markov;

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