Introduction to applied statistical signal analysis: guide to biomedical and electrical engineering applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier Academic Press
c2007
|
| Ausgabe: | 3rd ed |
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Includes bibliographical references and index Cover -- Copyright Page -- Table of Contents -- Preface -- Dedication -- Acknowledgments -- List of symbols -- Chapter 1 Introduction and terminology -- 1.1 Introduction -- 1.2 Signal terminology -- 1.2.1 Domain Types -- 1.2.2 Amplitude Types -- 1.2.3 Basic Signal Forms -- 1.2.4 The Transformed Domain-The Frequency Domain -- 1.2.5 General Amplitude Properties -- 1.3 Analog to digital conversion -- 1.4 Measures of signal properties -- 1.4.1 Time Domain -- 1.4.2 Frequency Domain -- References -- Chapter 2 Empirical modeling and approximation -- 2.1 Introduction -- 2.2 Model development -- 2.3 Generalized least squares -- 2.4 Generalities -- 2.5 Models from linearization -- 2.6 Orthogonal polynomials -- 2.7 Interpolation and extrapolation -- 2.7.1 Lagrange Polynomials -- 2.7.2 Spline Interpolation -- 2.8 Overview -- References -- Exercises -- Chapter 3 Fourier analysis -- 3.1 Introduction -- 3.2 Review of fourier series -- 3.2.1 Definition -- 3.2.2 Convergence -- - 3.3 Overview of fourier transform relationships -- 3.3.1 Continuous versus Discrete Time -- 3.3.2 Discrete Time and Frequency -- 3.4 Discrete fourier transform -- 3.4.1 Definition Continued -- 3.4.2 Partial Summary of DFT Properties and Theorems -- 3.5 Fourier analysis -- 3.5.1 Frequency Range and Scaling -- 3.5.2 The Effect of Discretizing Frequency -- 3.5.3 The Effect of Truncation -- 3.5.4 Windowing -- 3.5.5 Resolution -- 3.5.6 Detrending -- 3.6 Procedural summary -- 3.7 Selected applications -- References -- Exercises -- Appendices -- Appendix 3.1 DFT of ionosphere data -- Appendix 3.2 Review of properties of orthogonal functions -- Appendix 3.3 The fourier transform -- Appendix 3.4 Data and spectral windows -- Chapter 4 Probability concepts and signal characteristics -- 4.1 Introduction -- 4.2 Introduction to random variables -- 4.2.1 Probability Descriptors -- 4.2.2 Moments of Random Variables -- 4.2.3 Gaussian Random Variable -- 4.3 Joint probability -- - 4.3.1 Bivariate Distributions -- 4.3.2 Moments of Bivariate Distributions -- 4.4 Concept of sampling and estimation -- 4.4.1 Sample Moments -- 4.4.2 Significance of the Estimate -- 4.5 Density function estimation -- 4.5.1 General Principle for χ2 Approach -- 4.5.2 Detailed Procedure for χ2 Approach -- 4.5.3 Quantile-Quantile Approach -- 4.6 Correlation and regression -- 4.6.1 Estimate of Correlation -- 4.6.2 Simple Regression Model -- 4.7 General properties of estimators -- 4.7.1 Convergence -- 4.7.2 Recursion -- 4.7.3 Maximum Likelihood Estimation -- 4.8 Random numbers and signal characteristics -- 4.8.1 Random Number Generation -- 4.8.2 Change of Mean and Variance -- 4.8.3 Density Shaping -- References -- Exercises -- Appendices -- Appendix 4.1 Plots and formulas for five probability density functions -- Chapter 5 Introduction to random processes and signal properties -- 5.1 Introduction -- 5 |
| Beschreibung: | 1 Online-Ressource (xxii, 402 p.) |
| ISBN: | 0080467687 9780080467689 |
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| 500 | |a - 3.3 Overview of fourier transform relationships -- 3.3.1 Continuous versus Discrete Time -- 3.3.2 Discrete Time and Frequency -- 3.4 Discrete fourier transform -- 3.4.1 Definition Continued -- 3.4.2 Partial Summary of DFT Properties and Theorems -- 3.5 Fourier analysis -- 3.5.1 Frequency Range and Scaling -- 3.5.2 The Effect of Discretizing Frequency -- 3.5.3 The Effect of Truncation -- 3.5.4 Windowing -- 3.5.5 Resolution -- 3.5.6 Detrending -- 3.6 Procedural summary -- 3.7 Selected applications -- References -- Exercises -- Appendices -- Appendix 3.1 DFT of ionosphere data -- Appendix 3.2 Review of properties of orthogonal functions -- Appendix 3.3 The fourier transform -- Appendix 3.4 Data and spectral windows -- Chapter 4 Probability concepts and signal characteristics -- 4.1 Introduction -- 4.2 Introduction to random variables -- 4.2.1 Probability Descriptors -- 4.2.2 Moments of Random Variables -- 4.2.3 Gaussian Random Variable -- 4.3 Joint probability -- | ||
| 500 | |a - 4.3.1 Bivariate Distributions -- 4.3.2 Moments of Bivariate Distributions -- 4.4 Concept of sampling and estimation -- 4.4.1 Sample Moments -- 4.4.2 Significance of the Estimate -- 4.5 Density function estimation -- 4.5.1 General Principle for χ2 Approach -- 4.5.2 Detailed Procedure for χ2 Approach -- 4.5.3 Quantile-Quantile Approach -- 4.6 Correlation and regression -- 4.6.1 Estimate of Correlation -- 4.6.2 Simple Regression Model -- 4.7 General properties of estimators -- 4.7.1 Convergence -- 4.7.2 Recursion -- 4.7.3 Maximum Likelihood Estimation -- 4.8 Random numbers and signal characteristics -- 4.8.1 Random Number Generation -- 4.8.2 Change of Mean and Variance -- 4.8.3 Density Shaping -- References -- Exercises -- Appendices -- Appendix 4.1 Plots and formulas for five probability density functions -- Chapter 5 Introduction to random processes and signal properties -- 5.1 Introduction -- 5 | ||
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Datensatz im Suchindex
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| author | Shiavi, Richard |
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
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| dewey-search | 621.382/2 |
| dewey-sort | 3621.382 12 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| edition | 3rd ed |
| format | Electronic eBook |
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| indexdate | 2024-07-10T07:17:49Z |
| institution | BVB |
| isbn | 0080467687 9780080467689 |
| language | English |
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| spelling | Shiavi, Richard Verfasser aut Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications Richard Shiavi 3rd ed Amsterdam Elsevier Academic Press c2007 1 Online-Ressource (xxii, 402 p.) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Cover -- Copyright Page -- Table of Contents -- Preface -- Dedication -- Acknowledgments -- List of symbols -- Chapter 1 Introduction and terminology -- 1.1 Introduction -- 1.2 Signal terminology -- 1.2.1 Domain Types -- 1.2.2 Amplitude Types -- 1.2.3 Basic Signal Forms -- 1.2.4 The Transformed Domain-The Frequency Domain -- 1.2.5 General Amplitude Properties -- 1.3 Analog to digital conversion -- 1.4 Measures of signal properties -- 1.4.1 Time Domain -- 1.4.2 Frequency Domain -- References -- Chapter 2 Empirical modeling and approximation -- 2.1 Introduction -- 2.2 Model development -- 2.3 Generalized least squares -- 2.4 Generalities -- 2.5 Models from linearization -- 2.6 Orthogonal polynomials -- 2.7 Interpolation and extrapolation -- 2.7.1 Lagrange Polynomials -- 2.7.2 Spline Interpolation -- 2.8 Overview -- References -- Exercises -- Chapter 3 Fourier analysis -- 3.1 Introduction -- 3.2 Review of fourier series -- 3.2.1 Definition -- 3.2.2 Convergence -- - 3.3 Overview of fourier transform relationships -- 3.3.1 Continuous versus Discrete Time -- 3.3.2 Discrete Time and Frequency -- 3.4 Discrete fourier transform -- 3.4.1 Definition Continued -- 3.4.2 Partial Summary of DFT Properties and Theorems -- 3.5 Fourier analysis -- 3.5.1 Frequency Range and Scaling -- 3.5.2 The Effect of Discretizing Frequency -- 3.5.3 The Effect of Truncation -- 3.5.4 Windowing -- 3.5.5 Resolution -- 3.5.6 Detrending -- 3.6 Procedural summary -- 3.7 Selected applications -- References -- Exercises -- Appendices -- Appendix 3.1 DFT of ionosphere data -- Appendix 3.2 Review of properties of orthogonal functions -- Appendix 3.3 The fourier transform -- Appendix 3.4 Data and spectral windows -- Chapter 4 Probability concepts and signal characteristics -- 4.1 Introduction -- 4.2 Introduction to random variables -- 4.2.1 Probability Descriptors -- 4.2.2 Moments of Random Variables -- 4.2.3 Gaussian Random Variable -- 4.3 Joint probability -- - 4.3.1 Bivariate Distributions -- 4.3.2 Moments of Bivariate Distributions -- 4.4 Concept of sampling and estimation -- 4.4.1 Sample Moments -- 4.4.2 Significance of the Estimate -- 4.5 Density function estimation -- 4.5.1 General Principle for χ2 Approach -- 4.5.2 Detailed Procedure for χ2 Approach -- 4.5.3 Quantile-Quantile Approach -- 4.6 Correlation and regression -- 4.6.1 Estimate of Correlation -- 4.6.2 Simple Regression Model -- 4.7 General properties of estimators -- 4.7.1 Convergence -- 4.7.2 Recursion -- 4.7.3 Maximum Likelihood Estimation -- 4.8 Random numbers and signal characteristics -- 4.8.1 Random Number Generation -- 4.8.2 Change of Mean and Variance -- 4.8.3 Density Shaping -- References -- Exercises -- Appendices -- Appendix 4.1 Plots and formulas for five probability density functions -- Chapter 5 Introduction to random processes and signal properties -- 5.1 Introduction -- 5 COMPUTERS / Information Theory bisacsh TECHNOLOGY & ENGINEERING / Signals & Signal Processing bisacsh Signal processing / Statistical methods fast Signal processing Statistical methods Statistik (DE-588)4056995-0 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Statistik (DE-588)4056995-0 s Signalverarbeitung (DE-588)4054947-1 s 1\p DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 0-12-088581-6 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=185744 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Shiavi, Richard Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications COMPUTERS / Information Theory bisacsh TECHNOLOGY & ENGINEERING / Signals & Signal Processing bisacsh Signal processing / Statistical methods fast Signal processing Statistical methods Statistik (DE-588)4056995-0 gnd Signalverarbeitung (DE-588)4054947-1 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4054947-1 |
| title | Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications |
| title_auth | Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications |
| title_exact_search | Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications |
| title_full | Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications Richard Shiavi |
| title_fullStr | Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications Richard Shiavi |
| title_full_unstemmed | Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications Richard Shiavi |
| title_short | Introduction to applied statistical signal analysis |
| title_sort | introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications |
| title_sub | guide to biomedical and electrical engineering applications |
| topic | COMPUTERS / Information Theory bisacsh TECHNOLOGY & ENGINEERING / Signals & Signal Processing bisacsh Signal processing / Statistical methods fast Signal processing Statistical methods Statistik (DE-588)4056995-0 gnd Signalverarbeitung (DE-588)4054947-1 gnd |
| topic_facet | COMPUTERS / Information Theory TECHNOLOGY & ENGINEERING / Signals & Signal Processing Signal processing / Statistical methods Signal processing Statistical methods Statistik Signalverarbeitung |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=185744 |
| work_keys_str_mv | AT shiavirichard introductiontoappliedstatisticalsignalanalysisguidetobiomedicalandelectricalengineeringapplications |