Practical Handbook on Spectral Analysis PDF Download

Author: Anton Antonovitch Iankovskii
Publisher:
ISBN:
Category :
Languages : en
Pages : 190

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Author: V. S. Burakov
Publisher: Elsevier
ISBN: 1483184870
Category : Science
Languages : en
Pages : 211

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Book Description
Practical Handbook on Spectral Analysis focuses on visual and photographic methods of spectral analysis. The book aims to present the problems on the methods used in carrying out spectral analysis of materials encountered in practice in industrial laboratories. The handbook first offers information on light sources for spectral analysis and visual methods of spectral analysis. Discussions focus on alternating current arcs, spark generators, direct current arcs, essentials of visual methods of spectral analysis, and preparation of samples and electrodes for carrying out the analysis. The text then takes a look at the photographic methods of spectral analysis, as well as equipment for the photographic recording of spectra, properties and treatment of photographic materials, and principles of quantitative spectral analysis. The publication ponders on procedures for the spectrographic quantitative analysis of metals and alloys and methods of spectral analysis of powders and solutions. Topics include development of procedures for quantitative spectral analysis; obtaining standards and preparing specimens for analysis; and analysis of copper-base alloys, cast irons, high-alloy steels, and aluminum-base alloys. The manuscript also takes a look at the setting up of a spectral analysis laboratory. The handbook is a dependable reference for readers interested in the visual and photographic methods of spectral analysis.

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 190

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Author: Viktor Semenovich Burakov
Publisher:
ISBN:
Category :
Languages : en
Pages : 190

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Book Description

Author: Viktor Semenovich Burakov
Publisher:
ISBN:
Category : Spectrum analysis
Languages : en
Pages : 190

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Book Description

Author: Donald A. Burns
Publisher: CRC Press
ISBN: 9781420002577
Category : Science
Languages : en
Pages : 834

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Book Description
With contributions from over 40 experts in the field, this reference presents comprehensive, single-source coverage of the instrumentation, computerization, calibration, and methods development of NIR spectroscopy. It provides novel applications for accurate time- and cost-effective analyses of pharmaceuticals, polymers, textiles, agricultural products, dairy products, foods, and beverages. Emphasizing trends in sample preparation, the book covers historical development, calibration transfer, biomedical applications, plastics, and counterfeiting; on-line, in-line, and at-line analyses for process control, multilinear regression and principal component analysis, and more.

Author: Viktor Semenovich BURAKOV (and YANKOVSKY (Anton Antonovich))
Publisher:
ISBN:
Category :
Languages : en
Pages : 14

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Author: Burkhard Beckhoff
Publisher: Springer Science & Business Media
ISBN: 3540367225
Category : Science
Languages : en
Pages : 897

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X-Ray fluorescence analysis is an established technique for non-destructive elemental materials analysis. This book gives a user-oriented practical guidance to the application of this method. The book gives a survey of the theoretical fundamentals, analytical instrumentation, software for data processing, various excitation regimes including gracing incidents and microfocus measurements, quantitative analysis, applications in routine and micro analysis, mineralogy, biology, medicine, criminal investigations, archeology, metallurgy, abrasion, microelectronics, environmental air and water analysis. This book is the bible of X-Ray fluorescence analysis. It gives the basic knowledge on this technique, information on analytical equipment and guides the reader to the various applications. It appeals to researchers, analytically active engineers and advanced students.

Author: Mike X Cohen
Publisher: MIT Press
ISBN: 0262019876
Category : Psychology
Languages : en
Pages : 615

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Book Description
A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.

Author: Abdulhamit Subasi
Publisher: Academic Press
ISBN: 0128176733
Category : Business & Economics
Languages : en
Pages : 456

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Book Description
Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis. Provides comprehensive knowledge in the application of machine learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction Explains how to apply machine learning techniques to EEG, ECG and EMG signals Gives basic knowledge on predictive modeling in biomedical time series and advanced knowledge in machine learning for biomedical time series