Preface |
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ix | |
Introduction |
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1 | (6) |
Part 1 Applications and foundations |
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7 | (20) |
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8 | (3) |
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1.2 Classification of signals |
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11 | (5) |
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1.3 Classification of systems |
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16 | (11) |
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2 Mathematical prerequisites |
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27 | (33) |
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2.1 Complex numbers, polynomials and rational functions |
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28 | (7) |
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2.2 Partial fraction expansions |
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35 | (4) |
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2.3 Complex-valued functions |
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39 | (6) |
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45 | (6) |
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51 | (9) |
Part 2 Fourier series |
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3 Fourier series: definition and properties |
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60 | (26) |
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3.1 Trigonometric polynomials and series |
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61 | (4) |
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3.2 Definition of Fourier series |
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65 | (6) |
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3.3 The spectrum of periodic functions |
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71 | (1) |
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3.4 Fourier series for some standard functions |
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72 | (4) |
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3.5 Properties of Fourier series |
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76 | (4) |
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3.6 Fourier cosine and Fourier sine series |
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80 | (6) |
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4 The fundamental theorem of Fourier series |
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86 | (27) |
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4.1 Bessel's inequality and Riemann-Lebesgue lemma |
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86 | (3) |
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4.2 The fundamental theorem |
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89 | (6) |
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4.3 Further properties of Fourier series |
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95 | (10) |
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4.4 The sine integral and Gibbs' phenomenon |
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105 | (8) |
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5 Applications of Fourier series |
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113 | (25) |
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5.1 Linear time-invariant systems with periodic input |
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114 | (8) |
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5.2 Partial differential equations |
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122 | (16) |
Part 3 Fourier integrals and distributions |
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6 Fourier integrals. definition and properties |
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138 | (26) |
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6.1 An intuitive derivation |
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138 | (2) |
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6.2 The Fourier transform |
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140 | (4) |
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6.3 Some standard Fourier transforms |
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144 | (5) |
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6.4 Properties of the Fourier transform |
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149 | (7) |
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6.5 Rapidly decreasing functions |
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156 | (2) |
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158 | (6) |
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7 The fundamental theorem of the Fourier integral |
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164 | (24) |
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7.1 The fundamental theorem |
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165 | (7) |
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7.2 Consequences of the fundamental theorem |
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172 | (9) |
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7.3 Poisson's summation formula* |
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181 | (7) |
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188 | (20) |
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8.1 The problem of the delta function |
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189 | (3) |
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8.2 Definition and examples of distributions |
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192 | (5) |
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8.3 Derivatives of distributions |
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197 | (6) |
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8.4 Multiplication and scaling of distributions |
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203 | (5) |
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9 The Fourier transform of distributions |
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208 | (21) |
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9.1 The Fourier transform of distributions: definition and examples |
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209 | (8) |
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9.2 Properties of the Fonner transform |
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217 | (4) |
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221 | (8) |
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10 Applications of the Fourier integral |
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229 | (24) |
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10.1 The impulse response |
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230 | (4) |
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10.2 The frequency response |
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234 | (5) |
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10.3 Causal stable systems and differential equations |
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239 | (4) |
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10.4 Boundary and initial value problems for partial differential equations |
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243 | (10) |
Part 4 Laplace transforms |
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253 | (14) |
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11.1 Definition and examples |
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253 | (3) |
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256 | (3) |
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259 | (4) |
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11.4 The Cauchy-Riemann equations* |
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263 | (4) |
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12 The Laplace transform: definition and properties |
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267 | (21) |
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12.1 Definition and existence of the Laplace transform |
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268 | (7) |
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12.2 Linearity, shifting and scaling |
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275 | (5) |
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12.3 Differentiation and integration |
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280 | (8) |
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13 Further properties, distributions, and the fundamental theorem |
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288 | (22) |
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289 | (2) |
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13.2 Initial and final value theorems |
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291 | (3) |
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294 | (3) |
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13.4 Laplace transform of distributions |
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297 | (6) |
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13.5 The inverse Laplace transform |
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303 | (7) |
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14 Applications of the Laplace transform |
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310 | (30) |
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311 | (12) |
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14.2 Linear differential equations with constant coefficients |
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323 | (4) |
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14.3 Systems of linear differential equations with constant coefficients |
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327 | (3) |
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14.4 Partial differential equations |
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330 | (10) |
Part 5 Discrete transforms |
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15 Sampling of continuous-time signals |
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340 | (16) |
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15.1 Discrete-time signals and sampling |
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340 | (4) |
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15.2 Reconstruction of continuous-time signals |
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344 | (3) |
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15.3 The sampling theorem |
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347 | (4) |
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15.4 The aliasing problem* |
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351 | (5) |
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16 The discrete Fourier transform |
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356 | (19) |
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16.1 Introduction and definition of the discrete Fourier transform |
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356 | (6) |
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16.2 Fundamental theorem of the discrete Fourier transform |
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362 | (2) |
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16.3 Properties of the discrete Fourier transform |
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364 | (4) |
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16.4 Cyclical convolution |
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368 | (7) |
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17 The Fast Fourier Transform |
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375 | (16) |
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17.1 The DFT as an operation on matrices |
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376 | (4) |
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17.2 The N-point DFT with N = 2m |
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380 | (3) |
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383 | (8) |
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391 | (21) |
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18.1 Definition and convergence of the z-transform |
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392 | (4) |
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18.2 Properties of the z-transform |
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396 | (4) |
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18.3 The inverse z-transform of rational functions |
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400 | (4) |
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404 | (3) |
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18.5 Fourier transform of non-periodic discrete-time signals |
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407 | (5) |
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19 Applications of discrete transforms |
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412 | (17) |
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19.1 The impulse response |
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413 | (6) |
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19.2 The transfer function and the frequency response |
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419 | (5) |
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19.3 LTD-systems described by difference equations |
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424 | (5) |
Literature |
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429 | (3) |
Tables of transforms and properties |
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432 | (12) |
Index |
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444 | |