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Covariance Analysis for Seismic Signal Processing

matrix analysis in the processing of geophysical signals. A background of basic linear algebra, statistics, and fundamental random signal;

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Advanced Digital Signal Processing of Seismic Data

Seismic data must be interpreted using digital signal processing techniques in order to create accurate representations of petroleum;

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Seismic Data Interpretation using Digital Image Processing

includes essential research and teaching material for digital signal and image processing individuals interested in learning seismic data;

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Processing of Seismic Reflection Data Using MATLAB

This short book is for students, professors and professionals interested in signal processing of seismic data using MATLAB (TM). The step;

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Seismic Risk Analysis of Nuclear Power Plants

essential for understanding and performing seismic risk analysis, including engineering seismology, probability theory and random processes, digital;

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Signals and Images

analysis, tensor decomposition with applications in communications, adaptive sparse-interpolated filtering, signal processing for power line;

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Signals and Images

analysis, tensor decomposition with applications in communications, adaptive sparse-interpolated filtering, signal processing for power line;

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Robust Statistics for Signal Processing

Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the;

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Data Analytics for Drilling Engineering

professional drilling engineers and open up a new area of application for signal processing and data mining scientists.;

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Data Analytics for Drilling Engineering

professional drilling engineers and open up a new area of application for signal processing and data mining scientists.;

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Communication, Signal Processing & Information Technology

, Optical Communication, Wireless Sensor Networks, MIMO Systems, MIMO Communications, Signal Processing for Communications e-Learning. Digital;

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The Seismic Signal and Its Meaning

Filling the gap between theoretical literature and the routine activities of geophysicists in the oil industry, The Seismic Signal and Its;

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Two-Dimensional Digital Filters

of applications in image and seismic data processing that demonstrate their use in real-world signal processing. For graduate students in electrical and;

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Signal Processing with Free Software

An ideal resource for students, industrial engineers, and researchers, Signal Processing with Free Software Practical Experiments presents;

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Acquisition and Processing of Marine Seismic Data

contains important QC analysis methods and results both for data acquisition and marine seismic data processing. Acquisition and;

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Seismic Signatures and Analysis of Reflection Data in Anisotropic Media

developing practical methodologies for estimating them from seismic data, Seismic Signatures and Analysis of Reflection Data in Anisotropic Media;

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Seismic Inverse Q Filtering

data in terms of resolution and signal-to-noise ratio, as well as for reservoir geophysicists who are concerned about seismic fidelity in terms;

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Signal and Image Processing for Remote Sensing

hydroacoustic, seismic, microwave, and other sensors. Chapters cover important topics in signal and image processing and discuss techniques for dealing;

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Numerical Methods of Exploration Seismology

then focus on digital signal theory and relevant aspects of wave propagation and seismic modelling, followed by deconvolution and seismic;

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Fourier Transform - Signal Processing

processing techniques alone are inadequate methods for tracking changes in signal magnitude, frequency or phase, i.e. for the analysis of non;

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Advanced Digital Signal Processing and Noise Reduction

component analysis* Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information;

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Signal and Image Processing for Remote Sensing

hydroacoustic, seismic, microwave, and other sensors. Chapters cover important topics in signal and image processing and discuss techniques for dealing;

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Stationary Stochastic Processes for Scientists and Engineers

Stochastic processes are indispensable tools for development and research in signal and image processing, automatic control, oceanography;

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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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Phonocardiography Signal Processing

The auscultation method is an important diagnostic indicator for hemodynamic anomalies. Heart sound classification and analysis play an;

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Radar Signal Analysis and Processing Using MATLAB

Offering radar-related software for the analysis and design of radar waveform and signal processing, Radar Signal Analysis and Processing;

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Signal Processing and Data Analysis

This book presents digital signal processing theories and methods and their applications in data analysis, error analysis and statistical;

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