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Radar Remote Sensing for Crop Biophysical Parameter Estimation

help readers explore the state-of-the-art crop monitoring and biophysical parameter estimation using approaches radar remote sensing. It;

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Radar Remote Sensing for Crop Biophysical Parameter Estimation

help readers explore the state-of-the-art crop monitoring and biophysical parameter estimation using approaches radar remote sensing. It;

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Localization of Mobile Nodes

ofcheap and efficient localization scheme for Robotsare required to provide better results compared toother localization techniques.;

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Model Based Parameter Estimation

This judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental;

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Modelling and Parameter Estimation of Dynamic Systems

Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system;

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Recursive Identification and Parameter Estimation

identification and parameter estimation, but also demonstrates how to apply the proposed approaches for addressing problems in a range of areas;

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Recursive Identification and Parameter Estimation

identification and parameter estimation, but also demonstrates how to apply the proposed approaches for addressing problems in a range of areas;

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Item Response Theory

used to estimate the item or ability parameters under various IRT models. Extensively revised and expanded, this edition offers three new;

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Principles and Applications of RELAX

The multiple signal demixing and parameter estimation problems that result from the impacts of background noise and interference are issues;

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Lock Linked Intelligence-Instinct-Dreams-Education

A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing;

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Radiation Risk Estimation

This monograph discusses statistics and risk estimates applied to radiation damage under the presence of measurement errors. The first part;

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Parameter Estimation in Reliability and Life Span Models

Offers an applications-oriented treatment of parameter estimation from both complete and censored samples; contains notations, simplified;

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Weibull Models

application; and focuses on model identification prior to model parameter estimation.;

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Reliable Robot Localization

is generally uniform and unstructured, making it difficult to apply Simultaneous Localization and Mapping (SLAM) methods to perform localization;

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Deep Learning and Missing Data in Engineering Systems

Deep Learning and Missing Data in Engineering Systems uses deep learning and swarm intelligence methods to cover missing data estimation;

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Digital Processing of Random Signals

discusses their structure and main properties. He proceeds to examinations of statistical estimation theory, classical spectrum estimation, and;

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Statistical Estimation for Truncated Exponential Families

focuses on a truncated exponential family of distributions with a natural parameter and truncation parameter as a typical nonregular family. This;

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Underwater Acoustics and Ocean Dynamics

ocean dynamics; dynamic modeling in acoustic fields; acoustic tomography and ocean parameter estimation; time reversal and matched field;

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Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems

, advanced robust observer structures are presented. Parameter estimation based techniques are discussed as well. A particular attention is drawn to;

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Applied Parameter Estimation for Chemical Engineers

important optimization methods used for parameter estimation. It focuses on the Gauss-Newton method and its modifications for systems and processes;

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Applied Parameter Estimation for Chemical Engineers

important optimization methods used for parameter estimation. It focuses on the Gauss-Newton method and its modifications for systems and processes;

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Parameter Estimation in Fractional Diffusion Models

This book is devoted to parameter estimation in diffusion models involving fractional Brownian motion and related processes. For many years;

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Analysis and Management of Animal Populations

modeling, parameter estimation and decision-theoretic approaches to management in a single, cohesive framework Provides authoritative;

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Measurement Data Modeling and Parameter Estimation

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement;

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Measurement Data Modeling and Parameter Estimation

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement;

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