njit-etd2003-081 - New Jersey Institute of Technology

njit-etd2003-081 - New Jersey Institute of Technology njit-etd2003-081 - New Jersey Institute of Technology

archives.njit.edu
from archives.njit.edu More from this publisher
20.01.2015 Views

TABLE OF CONTENTS (Continued) Chapter Page 3.2 The Uncertainty Principle 47 3.3 The Analytic Signal and Instantaneous Frequency 48 3.4 Properties of Time-Frequency Distributions 50 3.5 Covariance and Invariance 52 3.6 Comparison of Time-Frequency Distributions 53 3.6.1 Short Time Fourier Transform 53 3.6.2 Wigner Distribution 56 3.6.3 The Choi-William (Exponential Distribution) 62 3.7 The Wavelet Transform 65 3.7.1 Continuous Wavelet Transform 67 3.7.2 Parseval Relation of Wavelet Transform 73 3.7.3 Discrete Wavelet Transform 74 3.8 Power Spectral Analysis of I-IRV 77 3.9 Power Spectral Analysis of Blood Pressure 85 3.10 Coherence Analysis 87 3.11 Weighted-coherence 91 3.12 Partial Coherence Analysis 92 3.12.1 Multivariate Analysis 92 3.12.2 Partial Spectral 92 3.13 System Identification 95

TABLE OF CONTENTS (Continued) Chapter Page 3.13.1 Estimating Transfer Functions of Non-linear Systems 96 3.13.2 The ARX Models 101 3.14 Principal Component Analysis 107 3.14.1 Basic Concepts of PCA 109 3.15 Cluster Analysis 112 3.15.1 Joining (Tree Clustering) 113 3.15.2 Hierarchical Tree 113 3.15.3 Distance Measures 114 3.15.4 Euclidian Distance 115 3.15.5 Squared Euclidian Distance 116 3.15.6 City Block (Manhattan) Distance 116 3.15.7 Chebychev Distance 116 3.15.8 Power Distance 116 3.15.9 Percent Disagreement 117 3.15.10 Amalgamation or Linkage Rules 117 3.15.11 Single Linkage (Nearest Neighbor) 118 3.15.12 Complete Linkage (Furthest Neighbor) 118 3.15.13 Unweighted Pair-Group Average 118 3.15.14 Weighted Pair-Group Average 119 3.15.15 Unweighted Pair-Group Centroid 119 xi

TABLE OF CONTENTS<br />

(Continued)<br />

Chapter<br />

Page<br />

3.13.1 Estimating Transfer Functions <strong>of</strong> Non-linear Systems 96<br />

3.13.2 The ARX Models 101<br />

3.14 Principal Component Analysis 107<br />

3.14.1 Basic Concepts <strong>of</strong> PCA 109<br />

3.15 Cluster Analysis 112<br />

3.15.1 Joining (Tree Clustering) 113<br />

3.15.2 Hierarchical Tree 113<br />

3.15.3 Distance Measures 114<br />

3.15.4 Euclidian Distance 115<br />

3.15.5 Squared Euclidian Distance 116<br />

3.15.6 City Block (Manhattan) Distance 116<br />

3.15.7 Chebychev Distance 116<br />

3.15.8 Power Distance 116<br />

3.15.9 Percent Disagreement 117<br />

3.15.10 Amalgamation or Linkage Rules 117<br />

3.15.11 Single Linkage (Nearest Neighbor) 118<br />

3.15.12 Complete Linkage (Furthest Neighbor) 118<br />

3.15.13 Unweighted Pair-Group Average 118<br />

3.15.14 Weighted Pair-Group Average 119<br />

3.15.15 Unweighted Pair-Group Centroid 119<br />

xi

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!