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Percival D.B., Walden A.T. — Wavelet methods for time series analysis
Percival D.B., Walden A.T. — Wavelet methods for time series analysis



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Название: Wavelet methods for time series analysis

Авторы: Percival D.B., Walden A.T.

Аннотация:

The analysis of time series data is essential to many areas of science, engineering, finance and economics. This introduction to wavelet analysis "from the ground level and up," and to wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed descriptions of the theory and algorithms needed to understand and implement the discrete wavelet transforms. Numerous examples illustrate the techniques on actual time series. The many embedded exercises-with complete solutions provided in the Appendix — allow readers to use the book for self-guided study. Additional exercises can be used in a classroom setting. A Web site offers access to the time series and wavelets used in the book, as well as information on accessing software in S-Plus and other languages. Students and researchers wishing to use wavelet methods to analyze time series will find this book essential.


Язык: en

Рубрика: Математика/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2000

Количество страниц: 611

Добавлена в каталог: 24.11.2013

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
Purely random process      268
Pyramid algorithm for DWT      17 56 68 151 157
Pyramid algorithm for DWT, first stage      80
Pyramid algorithm for DWT, first stage, and DWPT      207
Pyramid algorithm for DWT, first stage, summary      86
Pyramid algorithm for DWT, general stage      93
Pyramid algorithm for DWT, general stage, summary      99
Pyramid algorithm for DWT, inverse      95 157
Pyramid algorithm for DWT, pseudo-code      100 157
Pyramid algorithm for DWT, pseudo-code for inverse      101 157
Pyramid algorithm for DWT, reformulation for general length series      144
Pyramid algorithm for DWT, second stage      88
Pyramid algorithm for DWT, second stage and DWPT      207
Pyramid algorithm for DWT, second stage, summary      93
Pyramid algorithm for MODWT      175
Pyramid algorithm for MODWT, first stage      164—165
Pyramid algorithm for MODWT, general stage      174—175 177 201
Pyramid algorithm for MODWT, inverse      175 177 203
Pyramid algorithm for MODWT, pseudo-code      177 204
Pyramid algorithm for MODWT, pseudo-code, pseudo-code for inverse      178 204
QMF      see "Quadrature mirror filter"
Quadrature mirror filter (QMF)      75 151 163 498
Quadrature mirror filter (QMF) for time reversed filters      474 497
Quadrature mirror filter (QMF), alternative definition      79
Quartiles      442
Rabiner, L.R.      450—451 560
Rainfall average      6
Random circular shift      356 358 361 389 391
Random run      288 294
Random run, simulation      289
Random variable (RV)      256
Random variable (RV), binary-valued      410 454
Random variable (RV), continuous      256
Random variable (RV), discrete      256
Random variable (RV), mean of      256
Random variable (RV), mean of function of      256
Random variable (RV), multivariate      393
Random variable (RV), multivariate, Gaussian (normal)      400 407 441
Random variable (RV), outcome      256
Random variable (RV), realization      256
Random variable (RV), variance of      256
Random variables (RVs), independent      258
Random variables (RVs), independent and identically distributed (IID)      262
Random vector      393 258
Random walk process      288 293 385
Random walk process and DFBM      288
Random walk process, as first order backward difference of random run      294
Random walk process, nonstationary process with stationary first order backward difference      288
Random walk process, simulation of      289
Random walk process, wavelet variance for      337
Rao, C.R.      204 560 562
Rao, K.R.      54 560
Raphael, L.      554
Raymond, G.M.      560
Real component of complex variable      20
Real numbers (set of R)      457
Realization of RV      256
Reciprocity relationships      216
Reduced log likelihood for Gaussian FD process      363 389
Reduced log likelihood for instantaneous estimation      374
Reduced log likelihood for Nile River minima      386
Reduced log likelihood, using Gaussian nonboundary DWT coefficients      371 383
Reflecting boundary conditions      19 53 194
Reflecting boundary conditions and best basis selection      227—228
Reflecting boundary conditions and best shift basis selection      228
Reflecting boundary conditions for DWPT      227
Reflecting boundary conditions for DWT      140 433 439
Reflecting boundary conditions for MODWT      310
Reflecting boundary conditions, example with electrocardiogram      140 142
Regular DWT (alternative name for DWT)      218
Regularity      457
Regularity of function      486
Regularity of signal      486
Regularity, Hoelder      487
Regularization of the SDF      297—298
Reid, N.      434 560
Reinsel, G.C.      553
Relative approximation error      395 397
Rescaled wavelet function (alternative formulation for Haar)      10
Resolution of identity      205
Reversal of frequency order due to down-sampling with DWPT      211
Reversal of frequency order due to down-sampling with wavelet coefficients      85—86
Rice, S.      434 558
Richardson, G.A.      561
Riedel, K.S.      273—274 561
Riemann integral      6
Riemann sum      464
Rioul, O.      56 102—103 487 494 561
Risk      403 408
Risk function      265
Risk, minimum unbiased      402
RMSE      see "Root mean square error"
Roberts, D.E.      264 553
Robinson, E.A.      488 561
Robinson, P.M.      379 561
Rocca, F.      411—412 415 556
Root mean square error (RMSE)      364 372 377 379 386 436
Root mean square error (RMSE), thresholding of log multitaper estimator      445
Rotated cumulative variance      189 294 382
Rotated cumulative variance for subtidal sea levels      189—190
Rothrock, D.A.      558
Roughs, Fourier      50—51 54
Roughs, wavelet      66
Roughs, wavelet, D(4)      65—66
Roughs, wavelet, Haar      64 66
Rubin, D.B.      555
Ruskai, M.B.      554
Rutman, J.      7 321 561
Rv      see "Random variable"
Saddlepoint method      434 436
Salesin, D.H.      561
Sample ACS, FD process      341 350
Sample ACS, time series      14—15
Sample ACS, wavelet coefficients      14 16 19 343
Sample mean      16 48
Sample mean and DCT-II      55
Sample mean and DCT-IV      55
Sample mean and scaling coefficient      62 67 97 146 355
Sample mean of DWPT coefficients for node (j,n)      253
Sample mean of DWT coefficients      158
Sample mean of MODWT details and smooth      205
Sample mean of MODWT scaling coefficients      171
Sample mean, padding with      338
Sample mean, variance      293
Sample variance      48
Sample variance of MODWT scaling coefficients of $J_{0}th$ level      171
Sample variance of wavelet coefficients      344
Sample variance, bias in      299—300
Sample variance, decomposition of via DWT      62 67
Sample variance, decomposition of via MODWT      171 180 205
Sample variance, decomposition of via partial DWT      104
Sample variance, decomposition of via wavelet details      66—67
Sampled sinusoid signal      395
Sampling interval      48 59 266 315
Sampling interval, for FGN      285
Sapatinas, T.      552
Sardy, S.      560
Saulnier, G.      559
SCALE      6—7 58
Scale for scaling coefficients ($\lambda_{J}$), DWT      85 103 150
Scale for scaling coefficients ($\lambda_{J}$), MODWT      174
Scale for wavelet coefficients ($\tau_{J}$), DWT, 59      67—68 85 103 150 206
Scale for wavelet coefficients ($\tau_{J}$), MODWT      174
Scale, dyadic      13 15
Scale, physical      15 59 128 134 185
Scale, physical, for Nile river minima      192
Scale, physical, for subtidal sea levels      188 243
Scale, physical, for vertical ocean shear      194
Scale, unitless/standardized      59
Scale-by-scale ANOVA      62 151
Scale-restricted MLE      373 385
Scaled chi-square distribution      313 336 338
Scaling coefficients      13 17 59
Scaling coefficients and long memory property with FD process      351
Scaling coefficients and sample mean      62 67 97 146 355
Scaling coefficients with DWT-based MLEs for Gaussian FD process      366
Scaling coefficients, boundary elements      136 146 158
Scaling coefficients, downsampling and bandwidth      84 86
Scaling coefficients, MODWT, boundary elements      198
Scaling coefficients, MODWT, compared to smooth of jth level      180 185
Scaling coefficients, MODWT, via circular filtering      163 169—170 173 175 177 200—201
Scaling coefficients, scale $\lambda_{J}$      464 495
Scaling coefficients, scale four      463
Scaling coefficients, scale two      462 495
Scaling coefficients, scale unity      460 464 495
Scaling coefficients, variance of      355
Scaling coefficients, via circular filtering      77 79—80
Scaling coefficients, via circular filtering for jth level      94 97 152
Scaling coefficients, via circular filtering for second level      88
Scaling filter      56 75 78 151 463 495
Scaling filter and father wavelet filter      80
Scaling filter of 4th level, shift factor for LA(8)      179
Scaling filter of 4th level, shift factor for LA(L)      158
Scaling filter of jth level      96 152
Scaling filter of jth level for C(6)      125
Scaling filter of jth level for D(4)      97—98
Scaling filter of jth level for DWT/MODWT      173
Scaling filter of jth level for LA(8)      97—98
Scaling filter of jth level, advance required for      118 156
Scaling filter of jth level, alternative formulations      102
Scaling filter of jth level, autocorrelation width      103 174
Scaling filter of jth level, connection to scaling function      469 496
Scaling filter of jth level, shift factor for C(L)      124 198 205
Scaling filter of jth level, shift factor for LA(L)      114 198 205
Scaling filter of jth level, squared gain function      157
Scaling filter of jth level, transfer function      97 152 157
Scaling filter of jth level, width      97
Scaling filter of second level      91—92
Scaling filter of second level, Daubechies and low-pass nature      91
Scaling filter of second level, Haar      40
Scaling filter of second level, nonorthogonality to even shifts      92
Scaling filter, advance required for LA(L)      113
Scaling filter, approximately linear phase for C(L)      124
Scaling filter, approximately linear phase for LA(L)      112 117
Scaling filter, BL(L)      see "Best localized filter"
Scaling filter, coefficients for C(6)      109
Scaling filter, coefficients for D(4)      75 490
Scaling filter, coefficients for D(6), 106      109 491
Scaling filter, coefficients for D(8)      106 109 493
Scaling filter, coefficients for D(L)      493
Scaling filter, coefficients for Haar      75 463 489
Scaling filter, coefficients for LA(12)      109 112
Scaling filter, coefficients for LA(16)      109 112
Scaling filter, coefficients for LA(8)      109 112 494
Scaling filter, even width      75 78
Scaling filter, Fourier transform of time reversed      465 484 496
Scaling filter, Haar squared gain function      73 76
Scaling filter, key properties      154 499—500
Scaling filter, low-pass nature of Daubechies      76 78 151
Scaling filter, MODWT      169 200 469 476
Scaling filter, MODWT, autocorrelation width      174
Scaling filter, MODWT, connection to scaling function      469 496
Scaling filter, MODWT, energy      163
Scaling filter, MODWT, key properties      202
Scaling filter, MODWT, non-zero sum      163
Scaling filter, MODWT, orthogonality to even shifts      163
Scaling filter, MODWT, periodized      168 170 201
Scaling filter, MODWT, squared gain function      163
Scaling filter, MODWT, transfer function      163 169 173 201 469
Scaling filter, MODWT, width      169 201
Scaling filter, nonzero sum      76 78 151
Scaling filter, orthogonality to even shifted wavelet filter      77 151
Scaling filter, orthogonality to even shifts      76 78 151
Scaling filter, periodized      77 79—80 88
Scaling filter, periodized and circularly shifted      77 79
Scaling filter, reversal, of BL(14) from Doroslovacki      119
Scaling filter, reversal, of C(6) from Daubechies      123
Scaling filter, reversal, of LA(10), LA(14) and LA(16) from Daubechies      117
Scaling filter, shift factor for C(L)      124 229
Scaling filter, shift factor for LA(L)      229
Scaling filter, squared gain function      76 78 151
Scaling filter, squared gain function of time reversed      485 498
Scaling filter, support of scaling function      465
Scaling filter, time reversed      463 495
Scaling filter, transfer function      76 78
Scaling filter, unit energy      76 78
Scaling function      457 459 495
Scaling function, computation for D(4)      469
Scaling function, connection to scaling filter of jth level      469 496
Scaling function, finite support      465 472 496
Scaling function, Fourier transform of      465 468—469 496
Scaling function, Haar      460—463 479
Scaling function, integral of unity      468
Scaling function, key properties      499—500
Scaling function, normalization      468
Scaling function, support via scaling filter      465
Scaling function, two-scale relationship      464 466 470 495
Scargle, J.D.      295 561
Schafer, R.W.      28 106 117 484 560
Scher, M.S.      561
Schick, K.L.      340 561
SDF      see "Spectral density function"
Sea surface temperature average      6—7
Seasonally dependent variation      188—189
Second backward difference      60
Second level details and smooths      89
Second order stationarity      266
Self-similarity parameter      279
Sequency (sequential frequency) ordering binary vector for node (j,n)      215—217 249 253
Sequency (sequential frequency) ordering binary vector for node (j,n), for MODWPT coefficients      232
Sequency (sequential frequency) ordering binary vector for node (j,n), for wavelet packet coefficients      209—212
Serroukh, A.      303 310 334 561
Shark's fin, 97      124 129 196 420 471
Shensa, M.J.      159 561
Shift invariant DWT      159
Shifted Haar wavelet function (alternative formulation), 9      10
Shimomai, T.      6 561
Short-Time Fourier Transform      206
Shrinkage      394 408 434 453
Shrinkage and nonlinear transform      408 411—412
Shrinkage, rules for      411 454
Shrinkage, rules for, approximate conditional median      411 415—416
Shrinkage, rules for, Bayesian      412—413 415 426—428 454
Shrinkage, rules for, conditional mean      411—412 424—426
Shrinkage, wavelet      412 417 454
Sidorenko, A.      273—274 561
Sign function      400
Signal, average value over a scale      6
Signal, continuous time      457
Signal, detail for finite energy      479 497
Signal, deterministic      394 398 417 452—453
Signal, dilation      457—458 474 494
Signal, DWT coefficients, independent      451
Signal, DWT coefficients, non-Gaussian      450
Signal, estimation      17 393
Signal, finite energy      457 459
Signal, inverse dilation      459
Signal, jth level detail for finite energy      480 497
Signal, jth level wavelet coefficients for finite energy      480 497
Signal, linear estimator      408
Signal, MRA for finite energy      478—479 481—482 496
Signal, nonlinear estimator      408
Signal, plus noise model      398 402 452
Signal, reconstruction via CWT      11
Signal, regularity      457 486
Signal, representation via DWT      394—395
Signal, sampled sinusoid, bump and sum      395
Signal, sparse      411 415
Signal, square integrability condition (real-valued)      458 494
Signal, stochastic      393—394 408 412 424 452 454
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