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Modern Spectral Estimation

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Spectral Analysis of Signals

Spectral estimation is important in many fields including astronomy, meteorology, seismology, communications, economics, speech analysis;

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Estimates of Stochastic Processes with Stationary Increments and Cointegrated Sequences

processing. This book gives a deep understanding of spectral theory and estimation techniques for stochastic processes with stationary increments. It;

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Estimation of Stochastic Processes with Missing Observations

in the case of spectral certainty, where the spectral densities of the processes are exactly known. The minimax robust method of estimation;

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Digital Spectral Analysis with Applications

Digital Spectral Analysis offers a broad perspective of spectral estimation techniques and their implementation. Coverage includes spectral;

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Advanced Signal Processing

and modern spectral estimation, adaptive filters, and processing of spatial arrays. You will also explore linear optima filters, eigrn;

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Estimates of Periodically Correlated Isotropic Random Fields

We propose results of the investigation of the problem of the mean square optimal estimation of linear functionals which depend on the;

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Random Signal Processing

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral;

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Random Signal Processing

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral;

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Statistical Modeling Using Local Gaussian Approximation

explores Measuring dependence and testing for independence, Time series dependence and spectral analysis, Multivariate density estimation;

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Digital Spectral Analysis

for the understanding of spectral analysis are discussed in the first four chapters: fundamentals, digital signal processing, estimation;

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An Operator Perspective on Signals and Systems

In this monograph, we combine operator techniques with state space methods to solve factorization, spectral estimation, and interpolation;

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Potential Theory In Gravity & Magnetic

, depth-to-source estimation, ideal bodies, analytical continuation, and spectral analysis. The book includes numerous exercises and a variety;

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Potential Theory in Gravity and Magnetic Applications

, depth-to-source estimation, ideal bodies, analytical continuation, and spectral analysis. The book includes numerous exercises and a variety;

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High-Resolution and Robust Signal Processing

twenty years, placing emphasis on modern developments and recent research pursuits. Applications-grounded, this sophisticated resource links;

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Measurement of the spectral response of digital cameras

To know the spectral response of a digital camera it is necessary to design its color processing. In many cases just relying on the sensor;

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Spectral Theory of Canonical Systems

realizations in suitable Hilbert spaces, a modern treatment of de Branges spaces, and direct and inverse spectral problems are discussed;

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Introduction To Statistical Time Series

analysis Spectral theory and filtering Large sample theory Estimation of the mean and autocorrelations Estimation of the spectrum Parameter;

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Statistics for Research in Psychology: A Modern Approach Using Estimation

Statistics for Research in Psychology offers an intuitive approach to statistics based on estimation for interpreting research;

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Sequential Estimation

accelerated sequential sampling procedures. It integrates the diversities in sequential estimation in a logical, treating both classical and modern;

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Harmonic And Spectral Analysis

This book provides a modern introduction to harmonic analysis and synthesis on topological groups. It serves as a guide to the abstract;

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Methods for Estimation and Inference in Modern Econometrics

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such;

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Methods for Estimation and Inference in Modern Econometrics

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such;

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Classical and Modern Direction-of-Arrival Estimation

Classical and Modern Direction of Arrival Estimation contains both theory and practice of direction finding by the leading researchers;

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Detection and Estimation Research of High-speed Railway Catenary

estimation, and discusses modern spectrum estimation tools for catenary. It is organized in three parts: the first discusses statistical;

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Optimal Filtering

, and estimation; the discrete-time Kalman filter; time-invariant filters; properties of Kalman filters; computational aspects; and smoothing;

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High-Dimensional Covariance Matrix Estimation

This book presents covariance matrix estimation and related aspects of random matrix theory. It focuses on the sample covariance matrix;

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