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Adaptive control of low-level radio frequency signals based on in-phase and quadrature components
Rezaeizadeh, A.
اطلاعات کتابشناختی
Adaptive control of low-level radio frequency signals based on in-phase and quadrature components
پدیدآور اصلی :
Rezaeizadeh, A.
ناشر :
Institute of Electrical and Electronics Engineers Inc,
سال انتشار :
2017
موضوع ها :
Adaptive control. Amplitude and phase. Free-Electron laser. Linear accelerator. Radio...
شماره راهنما :
جستجو در محتوا
ترتيب
شماره صفحه
امتياز صفحه
فهرست مطالب
Cover
(2)
Half Title
(7)
Title
(9)
Copyright
(10)
Contents
(12)
Preface
(19)
The Authors
(22)
1 The Material of Multivariate Analysis
(24)
1.1 Examples of Multivariate Data
(24)
1.1.1 Example 1.1: Storm Survival of Sparrows
(24)
1.1.2 Example 1.2: Egyptian Skulls
(27)
1.1.3 Example 1.3: Distribution of a Butterfly
(28)
1.1.4 Example 1.4: Prehistoric Dogs from Thailand
(32)
1.1.5 Example 1.5: Cost of a Healthy Diet in Europe
(33)
1.2 Preview of Multivariate Methods
(36)
1.3 The Multivariate Normal Distribution
(40)
1.4 Computer Programs
(41)
References
(44)
2 Matrix Algebra
(45)
2.1 The Need for Matrix Algebra
(45)
2.2 Matrices and Vectors
(45)
2.3 Operations on Matrices
(48)
2.4 Matrix Inversion
(50)
2.5 Quadratic Forms
(51)
2.6 Eigenvalues and Eigenvectors
(51)
2.7 Vectors of Means and Covariance Matrices
(52)
2.8 Missing Values in Matrices Used for Multivariate Statistics
(54)
2.9 Further Reading
(56)
References
(60)
3 Displaying Multivariate Data
(65)
3.1 The Problem of Displaying Many Variables in Two Dimensions
(65)
3.2 Plotting Index Variables
(67)
3.3 The Draftsman's Plot
(68)
3.4 The Representation of Individual Data Points
(70)
3.5 Profiles of Variables
(72)
3.6 Discussion and Further Reading
(74)
References
(76)
4 Tests of Significance with Multivariate Data
(82)
4.1 Simultaneous Tests on Several Variables
(82)
4.2 Comparison of Mean Values for Two Samples: The Single-Variable Case
(82)
4.3 Comparison of Mean Values for Two Samples: The Multivariate Case
(84)
4.3.1 Example 4.1: Testing Mean Values for Bumpus’ Female Sparrows
(85)
4.4 Multivariate versus Univariate Tests
(87)
4.5 Comparison of Variation for Two Samples: The Single-Variable Case
(88)
4.6 Comparison of Variation for Two Samples: The Multivariate Case
(88)
4.6.1 Example 4.3: Testing Variation for Female Sparrows
(90)
4.7 Comparison of Means for Several Samples
(95)
4.8 Comparison of Variation for Several Samples
(99)
4.8.1 Example 4.4: Comparison of Samples of Egyptian Skulls
(100)
4.9 Computer Programs
(102)
References
(106)
5 Measuring and Testing Multivariate Distances
(111)
5.1 Multivariate Distances
(111)
5.2 Distances between Individual Observations
(112)
5.2.1 Example 5.1: Distances between Dogs and Related Species
(114)
5.3 Distances between Populations and Samples
(116)
5.3.1 Example 5.2: Distances between Samples of Egyptian Skulls
(118)
5.4 Multivariate Similarities
(122)
5.5 Presence-Absence Data
(123)
5.5.1 Example 5.3 Measuring Similarities between Two Plant Species
(124)
5.6 The Mantel Randomization Test
(125)
5.6.1 Example 5.4: More on Distances between Samples of Egyptian Skulls
(128)
5.7 Computer Programs
(129)
5.8 Discussion and Further Reading
(130)
References
(131)
6 Principal Components Analysis
(138)
6.1 Definition of Principal Components
(138)
6.2 Procedure for a Principal Components Analysis
(143)
6.2.1 Example 6.1: Body Measurements of Female Sparrows
(147)
6.2.2 Example 6.2: Cost of a Healthy Diet in Europe
(151)
6.3 Principal Components Analysis and Missing Data
(155)
6.3.1 Example 6.3 Principal Component Analysis of the Costs of a Healthy Diet in Europe with Missing Data
(156)
6.4 Computer Programs
(159)
6.5 Further Reading
(160)
References
(167)
7 Factor Analysis
(174)
7.1 The Factor Analysis Model
(174)
7.2 Procedure for a Factor Analysis
(177)
7.3 Principal Components Factor Analysis
(180)
7.4 Using a Factor Analysis Program to Do Principal Components Analysis
(182)
7.4.1 Example 7.1: Cost of Healthy Food in European Countries
(182)
7.5 Options in Analyses
(187)
7.6 The Value of Factor Analysis
(187)
7.7 Discussion and Further Reading
(188)
References
(189)
8 Discriminant Function Analysis
(193)
8.1 The Problem of Separating Groups
(193)
8.2 Discrimination Using Mahalanobis Distances
(194)
8.3 Canonical Discriminant Functions
(195)
8.4 Tests of Significance
(199)
8.5 Assumptions
(200)
8.5.1 Example 8.1: Comparison of Samples of Egyptian Skulls
(200)
8.5.2 Example 8.2: Discriminating between Groups of European Countries
(203)
8.6 Allowing for Prior Probabilities of Group Membership
(211)
8.7 Stepwise Discriminant Function Analysis
(211)
8.8 Jackknife Classification of Individuals
(212)
8.9 Assigning Ungrouped Individuals to Groups
(212)
8.10 Logistic Regression
(213)
8.10.1 Example 8.3: Storm Survival of Female Sparrows (Reconsidered)
(215)
8.10.2 Example 8.4: Comparison of Two Samples of Egyptian Skulls
(216)
8.11 Computer Programs
(220)
8.12 Discussion and Further Reading
(220)
References
(221)
9 Cluster Analysis
(227)
9.1 Uses of Cluster Analysis
(227)
9.2 Types of Cluster Analysis
(227)
9.3 Hierarchical Methods
(228)
9.4 Problems with Cluster Analysis
(231)
9.5 Measures of Distance
(233)
9.6 Principal Components Analysis with Cluster Analysis
(233)
9.6.1 Example 9.1: Clustering of European Countries
(234)
9.6.2 Example 9.2: Relationships between Canine Species
(239)
9.7 Computer Programs
(241)
9.8 Discussion and Further Reading
(242)
References
(245)
10 Canonical Correlation Analysis
(249)
10.1 Generalizing a Multiple Regression Analysis
(249)
10.2 Procedure for a Canonical Correlation Analysis
(250)
10.3 Tests of Significance
(251)
10.4 Interpreting Canonical Variates
(252)
10.4.1 Example 10.1: Environmental and Genetic Correlations for Colonies of a Butterfly
(253)
10.4.2 Example 10.2: Soil and Vegetation Variables in Belize
(255)
10.5 Computer Programs
(259)
10.6 Further Reading
(259)
References
(260)
11 Multidimensional Scaling
(263)
11.1 Constructing a Map from a Distance Matrix
(263)
11.2 Procedure for Multidimensional Scaling
(265)
11.2.1 Example 11.1: Road Distances between New Zealand Towns
(267)
11.2.2 Example 11.2: The Voting Behavior of Congressmen
(273)
11.3 Computer Programs
(280)
11.4 Further Reading
(281)
References
(281)
12 Ordination
(287)
12.1 The Ordination Problem
(287)
12.2 Principal Components Analysis
(288)
12.2.1 Example 12.1: Plant Species in the Steneryd Nature Reserve
(289)
12.2.2 Example 12.2: Burials in Bannadi
(292)
12.3 Principal Coordinates Analysis
(296)
12.3.1 Example 12.3: Plant Species in the Steneryd Nature Reserve (Revisited)
(300)
12.3.2 Example 12.4: Burials in Bannadi (Revisited)
(301)
12.4 Multidimensional Scaling
(304)
12.4.1 Example 12.5: Plant Species in the Steneryd Nature Reserve (Again)
(305)
12.4.2 Example 12.6: Burials in Bannadi (Again)
(307)
12.5 Correspondence Analysis
(308)
12.5.1 Example 12.7: Plant Species in the Steneryd Nature Reserve (Yet Again)
(312)
12.6 Comparison of Ordination Methods
(314)
12.7 Computer Programs
(314)
12.8 Further Reading
(315)
References
(316)
13 Epilogue
(323)
13.1 The Next Step
(323)
13.2 Some General Reminders
(324)
References
(325)
Index
(351)
Index of R Functions and Packages
(366)