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List of frequently used symbols and their meanings |
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vii | |
Preface |
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ix | |
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1 | (26) |
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1.1 Mathematical description of the response of a real physical remote sensing system |
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3 | (6) |
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1.2 Examples of real inversion problems |
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9 | (15) |
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24 | (3) |
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Chapter 2 Simple Problems Involving Inversion |
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27 | (10) |
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2.1 Algebraic elimination |
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28 | (5) |
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2.2 Quadrature, the reduction of integral equations to systems of linear equations |
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33 | (3) |
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36 | (1) |
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Chapter 3 Theory of Large Linear Systems |
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37 | (16) |
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3.1 Matrix-vector algebra |
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37 | (3) |
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40 | (2) |
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42 | (6) |
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3.4 Transposition and rules for product inversion |
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48 | (4) |
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52 | (1) |
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Chapter 4 Physical and Geometric Aspects of Vectors and Matrices |
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53 | (30) |
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53 | (6) |
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4.2 Norms, length and distance |
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59 | (1) |
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60 | (3) |
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4.4 Geometrical view of matrix operations |
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63 | (4) |
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4.5 Eigenvalues and eigenvectors |
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67 | (9) |
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4.6 Quadratic forms, eigenvalues and eigenvectors |
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76 | (5) |
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81 | (2) |
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Chapter 5 Algebraic and Geometric Aspects of Functions and Function Space |
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83 | (32) |
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5.1 Orthogonality, norms and length |
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84 | (6) |
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5.2 Other kinds of orthogonality |
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90 | (5) |
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5.3 Approximation by sums of functions |
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95 | (5) |
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100 | (5) |
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5.5 The Fourier transform and Fourier series |
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105 | (8) |
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5.6 Spectral form of the fundamental integral equation of inversion |
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111 | (2) |
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113 | (2) |
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Chapter 6 Linear Inversion Methods |
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115 | (36) |
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115 | (5) |
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6.2 Least squares solution |
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120 | (2) |
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6.3 Constrained linear inversion |
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122 | (5) |
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6.4 Sample applications of constrained linear inversion |
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127 | (17) |
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6.5 Algebraic nature of constrained linear inversion |
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144 | (2) |
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6.6 Geometric nature of constrained linear inversion |
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146 | (3) |
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149 | (2) |
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Chapter 7 Further Inversion Techniques |
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151 | (34) |
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7.1 More elaborate treatments of error components in linear inversions |
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152 | (6) |
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7.2 The synthesis approach to inversion |
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158 | (11) |
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7.3 Solution in terms of kernels |
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169 | (3) |
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7.4 The Prony algorithm --- a non-linear inversion method |
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172 | (4) |
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176 | (3) |
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7.6 Iterative, non-linear methods of inversion |
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179 | (5) |
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184 | (1) |
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Chapter 8 Information Content of Indirect Sensing Measurements |
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185 | (28) |
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8.1 How many measurements? |
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185 | (2) |
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8.2 Interdependence of kernels |
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187 | (2) |
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8.3 Extrema of quadratic forms |
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189 | (2) |
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8.4 Application to the interdependence problem for the kernels |
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191 | (8) |
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199 | (3) |
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8.6 Independence analysis applied to measured quantities |
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202 | (5) |
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207 | (5) |
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212 | (1) |
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213 | (18) |
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9.1 Further examples of inversions and their behavior |
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214 | (5) |
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9.2 Beneficial aspects of kernel interdependence |
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219 | (5) |
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9.3 Inference of more unknowns than there are measurements |
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224 | (1) |
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9.4 Inversions in which the unknown is a matrix |
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225 | (1) |
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9.5 Prediction and inversion |
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226 | (5) |
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231 | (4) |
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231 | (1) |
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2 Matrix properties involving determinants |
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232 | (2) |
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3 Solution by determinants of a linear system of equations |
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234 | (1) |
Suggestions for further reading |
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235 | (4) |
Name Index |
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239 | (2) |
Subject index |
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241 | |