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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
Signal, stochastic, DWT coefficients      424 426 450
Signal, stochastic, Gaussian (normal) mixture model      410
Signal, stochastic, generalized Gaussian model      417
Signal, stochastic, transform coefficients      407—408 412 45
Signal, support      465
Signal, transform coefficients      394
Signal, translation      457—458 474 494
Signal, wavelet coefficients for finite energy      479 497
Signal-to-noise ratio      398
Significance level for homogeneity of variance test      381
Silverman, B.W.      159 401—402 406 444 450 552 556—557 559
Simulation of autoregressive process      292
Simulation of continuous parameter nonstationary process      361
Simulation of FBM      361
Simulation of FD process      283
Simulation of FD process, via Davies-Harte method      341
Simulation of FD process, via inverse DWT      341 355 389
Simulation of FGN process      283
Simulation of Gaussian (normal) stationary processes with known ACVS      290—291
Simulation of Gaussian (normal) stationary processes with known SDF      291 436
Simulation of nonstationary process      289
Simulation of nonstationary process, via DWT      360
Simulation of nonstationary process, with stationary dth order backward differences      292
Simulation of PPL process      283
Simulation of random run      289
Simulation of random walk      289
Simulation of stationary processes      290
Simulation of trend plus stationary process      289
Simulation with stationary start-up values      293
Simulation, Davies — Harte method      281 283 290 341
Simulation, examples of FD process via inverse DWT      358
Simulation, examples of nonstationary process via DWT      360
Simulation, FD ACVS by Davies — Harte method      359
Simulation, FD ACVS by DWT method      359
Simulation, Gaussian spectral synthesis method      291
Simulation, Hosking method      291
Simulation, localized nature of inverse DWT approach      359
Simulation, versus DWT method      359
Sinai, Y.G.      280 561
Sine tapers      274 277 440
Small wave interpretation of wavelet function      2 476
Smith, E.J.      552 556
Smith, H.      376 378 555
Smith, R.L.      560
Smith, W.L.      553
Smoothing of periodogram      271
Smoothing, adaptive      272
Smoothing, bandwidth      269 272
Smoothing, spline      272
Smooths, DWT-based      64 66 151 158
Smooths, DWT-based of jth level      95
Smooths, DWT-based, artifact removal by averaging      196—197
Smooths, DWT-based, compared to MODWT-based smooths      196
Smooths, DWT-based, of first level      81
Smooths, DWT-based, of second level      89
Smooths, DWT-based, using Haar wavelet      64 66
Smooths, Fourier      50—51 54
Smooths, MODWT-based and zero phase      160 168 172
Smooths, MODWT-based of jth level      171 173 176—177 200 203
Smooths, MODWT-based of jth level and DWT averaging      204-
Smooths, MODWT-based of jth level via cross-correlation (circular)      172 203
Smooths, MODWT-based, boundary elements      199
Smooths, MODWT-based, compared to DWT-based smooths      196
Snider, J.B.      556
Soft thresholding      399—400 430 444 453
Soft thresholding, cross-validation      422
Soft thresholding, energy levels      420
Soft thresholding, LA(8) MODWT      430
Soft thresholding, LA(8) partial DWT      419—421 423—424
Sokoloff, D.      552
Solar magnetic field      207 218 234
Solar magnetic field, advanced LA(8) DWPT coefficients      221—222
Solar magnetic field, advanced LA(8) MODWPT coefficients      235—236
Solar magnetic field, best basis, using entropy cost functional      227
Solar magnetic field, best basis, using reflection boundary conditions      227—228
Solar magnetic field, best shift basis using reflection boundary conditions      228
Solar magnetic field, details for LA(8) MODWPT      237—238
Solar magnetic field, DWPTs of 4th level      220
Solar magnetic field, modified time/frequency decomposition      236—237
Solar magnetic field, multitaper SDF estimate of      278
Solar magnetic field, non-advanced LA(8) MODWPT coefficients      253
Soon, W.      552
Southwood, D.J.      552
Span of subspace      45
Span, linear      459
Sparse signal model      411 415 424 454—455
Spectral density function      267
Spectral density function and ACVS      267
Spectral density function for AR process      268
Spectral density function for AR(1) processes      351—352
Spectral density function for AR(2) process      436
Spectral density function for AR(2) process, estimated via log multitaper      446 448
Spectral density function for AR(2) process, estimated via log periodogram      437—438
Spectral density function for AR(24) process      435
Spectral density function for AR(24) process, estimated via log multitaper      446—447
Spectral density function for AR(24) process, estimated via log periodogram      437—438
Spectral density function for AR(24) process, estimated via multitaper      275
Spectral density function for AR(24) process, estimated via periodogram      273
Spectral density function for DFBM process      280
Spectral density function for FBM process      280
Spectral density function for FD process      282 284 343—344 348—349
Spectral density function for FGN process      280 282
Spectral density function for MRC process      436
Spectral density function for MRC process, estimated via log multitaper      446—447 449
Spectral density function for MRC process, estimated via log periodogram      437—438
Spectral density function for PPL process      281—282
Spectral density function for white noise      268
Spectral density function, confidence intervals for      275 278
Spectral density function, consistent estimator      271—272
Spectral density function, consistent estimator, via wavelet variance      298
Spectral density function, DWT-based estimation of logarithm      433
Spectral density function, estimation via thresholding of log multitaper estimator      440 444
Spectral density function, estimation via thresholding of log periodogram      432 435 439
Spectral density function, estimation via thresholding, statistical properties of      434
Spectral density function, estimation via wavelet variance      295 297—298 315—316 329 337
Spectral density function, even function      267
Spectral density function, multitaper estimator, 269      273—275 394
Spectral density function, nonboundary wavelet coefficients      348—349 352
Spectral density function, nonstationary process with stationary dth order backward difference      287
Spectral density function, octave band estimation      316 329—330 337 343 351 389
Spectral density function, periodogram      see "Periodogram"
Spectral density function, piecewise power law      321 323
Spectral density function, pilot estimate      297
Spectral density function, pilot estimate and unbiased Haar DWT-based estimator      317
Spectral density function, pilot estimate and unbiased Haar MODWT-based estimator      317
Spectral density function, power law      297
Spectral density function, square integrability condition      307
Spectral factorization      106 116 486—487
Spectral factorization, D(4) scaling filter      490—491
Spectral factorization, D(L) scaling filter      492 500
Spectral factorization, Haar scaling filter      489
Spectral factorization, LA(8) scaling filter      493
Spectral factorization, LA(L) scaling filter      500
Spectral factorization, multiplicity of solutions      489
Spectral slope      286
Spectrum energy      268
Spectrum power      see "Power spectrum"
Spies, T.A.      295 553
Spline smoothing      272
Square integrability condition for real-valued function      458 494
Square integrability condition for SDF      307
Square summability condition for ACVS      267 307
Squared error loss      265—266 414
Squared gain function, associated with MODWT wavelet coefficients of jth level      197
Squared gain function, associated with MODWT wavelet details of jth level      197
Squared gain function, backward difference filter      105 280 304 335
Squared gain function, coiflet wavelet filter      124
Squared gain function, D(4) scaling and wavelet filters      73 76
Squared gain function, D(4) scaling and wavelet filters, of second level      91 157
Squared gain function, Daubechies scaling and wavelet filters      105 107 116 153 155
Squared gain function, Daubechies scaling and wavelet filters of jth level      121—12 343 391
Squared gain function, DWT scaling and wavelet filters      69 74 76 78 151 156
Squared gain function, DWT scaling and wavelet filters of jth level      157
Squared gain function, Haar scaling and wavelet filters      73 76
Squared gain function, Haar scaling and wavelet filters of second level      91
Squared gain function, LA(8) scaling filter of 4th level      97 99
Squared gain function, LA(8) scaling filter of jth level      157
Squared gain function, LA(8) wavelet filter of jth level      97 99
Squared gain function, MODWT scaling and wavelet filters      163
Squared gain function, sidelobes for Daubechies wavelet filter of jth level      123
Squared gain function, time reversed scaling filter      485—486 498
Squared gain function, wavelet packet filter for node (j,n)      215 217 233 253
Squared norm      458
Squared norm for complex-valued variables      46
Squared norm for real-valued variables      42
Standard deviation estimated, via level-dependent MAD      450
Standard deviation estimated, via MAD and DWT      418—421 426—427 455
Standard deviation estimated, via MAD and MODWT      429—430
Standard Gaussian (normal) RV      257
Stark, P.B.      558
State value      451
State variable      451
Stationarity (second order)      266
Stationarity (second order), local      327 333
Stationary, backward differences      287 295 301 304—305 335 337—338 424
Stationary, DWT      159
Stationary, first difference series      322 328
Stationary, long memory process      280—281 286
Stationary, process      268
Stationary, process and wavelet variance exponents      323
Stationary, process, covariance of      266
Stationary, process, mean of      266
Stationary, process, simulation of      290
Stationary, process, variance of      266
Stationary, second difference series      319
Statistical efficiency      17 309
Stegun, I.A.      257 552
Stein's unbiased risk estimator (SURE)      404 420 453 456
Stein's unbiased risk estimator (SURE), level-dependent threshold      449—450 41
Stein's unbiased risk estimator (SURE), minimization      405
Stein's unbiased risk estimator (SURE), threshold      421 454
Stein, C.M.      403—404 561
Step function      5 6
Stern, H.S.      555
Stochastic noise      393 398
Stochastic noise, DWT coefficients for      424 426
Stochastic process      255 266
Stochastic signal      393—394 408 412 424 452 454
Stochastic signal, DWT coefficients for      424 426 450
Stochastic signal, estimation via nonlinear shrinkage      408
Stochastic signal, estimation via scaling      407
Stochastic signal, Gaussian (normal) mixture model      41
Stochastic signal, generalized Gaussian model      417
Stochastic signal, transform coefficients      407—408 412 452
Stoffer, D.S.      218 561
Stollnitz, E.J.      1 561
Strang, G.      56 465 471
Strichartz, R.S.      80 457 562
Stuetzle, W.      554
Subba Rao, T.      561
Suboptimal basis selection, top down approach      226
Subsampling      see "Downsampling"
Subspaces, convention for nesting approximation spaces      461
Subspaces, nested      460 494
Subspaces, nesting for approximation and detail spaces      472—473
Subspaces, projection onto      45
Subspaces, span of      45
Subtidal sea level fluctuations      295 324
Subtidal sea level fluctuations, LA(8) MODWT of advanced coefficients      189
Subtidal sea level fluctuations, LA(8) MODWT of ANOVA      185
Subtidal sea level fluctuations, LA(8) MODWT of MRA      185—187
Subtidal sea level fluctuations, matching pursuit approximations      244
Subtidal sea level fluctuations, matching pursuit approximations, using MODWT and ODFT dictionary      247—248
Subtidal sea level fluctuations, matching pursuit approximations, using MODWT dictionary      243—246
Subtidal sea level fluctuations, normalized residual sum of squares      247—248
Subtidal sea level fluctuations, physical scales      188
Subtidal sea level fluctuations, rotated cumulative variance      189—190
Sum of linear trend and stationary process      288
Sum of Pth order polynomial trend and a stationary process      289
Sum of two independent RVs, PDF      262 409 416
Sum of two independent RVs, PDF for Gaussians      451
Sum of two RVs, PDF for      262
Support of a function      465
SURE      see "Stein's unbiased risk estimator"
Sweldens, W.      1 461 464 557 562
Sydnor, R.L.      553
Symmetry of autocovariance sequence      266
Symmlets      107
Synthesis of function, scaling and wavelet coefficients      481—482 497
Synthesis of function, via approximation and details      479 481 496
Synthesis of function, via scaling coefficients      460
Synthesis of function, via wavelet coefficients      482
Synthesis of scaling coefficients of jth level, DWT      95 152
Synthesis of scaling coefficients of jth level, MODWT      175 177 203
Synthesis of signal, scaling and wavelet coefficients      481—482 497
Synthesis of signal, via approximation and details      479 481 496
Synthesis of signal, via scaling coefficients      460
Synthesis of signal, via wavelet coefficients      482
Synthesis of time series      43 46 53
Synthesis of time series from DWPT coefficients      208 250
Synthesis of time series from DWT coefficients      57 63
Synthesis of time series from Fourier coefficients      49
Synthesis of time series from MODWPT coefficients      234
Synthesis of time series from MODWT coefficients      166 168—169
Synthesis of time series from partial DWT coefficients      80 83 90 150
Synthesis of time series, using matching pursuit      240
Synthesis of time series, via DWT details and smooth      65 67 129 150
Synthesis of time series, via DWT smooths and roughs      66—67
Synthesis of time series, via Fourier details      50
Synthesis of time series, via Fourier roughs and smooth      51 54
Synthesis of time series, via MODWPT details      234 251
Synthesis of time series, via MODWT details and smooth      166 168—169 173 200
Szu, H.H.      553 558—559
t distribution      414 427
Tapers      see "Data tapers"
Taswell, C.      119 141 226 562
Taylor series expansion      353
Taylor series expansion, PDF      257 see
Teichroew, D.      265 562
Temperature average      6—7
Terrin, N.      388 553
Test for homogeneity of variance      341
Test for homogeneity of variance, arbitrary sample size      382 386
Test for homogeneity of variance, DWT-based test statistic      380
Test for homogeneity of variance, long memory processes      379 391
Test for homogeneity of variance, Nile River minima      386—387
Test for homogeneity of variance, nonboundary MODWT-based      381
Test for trend      373 390
Test for trend, adjustment      373
Test for trend, atomic clock average fractional frequency deviates      384
Test for trend, mean removal      373
Teukolskv, S.A.      560
Tewfik, A.H.      295 354 562
Thomson, D.J.      273 275 277 558 562
Threshold cost functional      223 225 253
Threshold for SDF estimation via log periodogram      436
Threshold function      399 411 454
Threshold, cross-validation      402
Threshold, cross-validation, leave-one-out cross-validation      423—424
Threshold, cross-validation, two-fold cross-validation      423—424
Threshold, level-dependent SURE-based      406
Threshold, universal      400—401 418—419 443 450 453—454
Threshold, via SURE      404 406 421 454
Thresholding      394 399 419 434 453
Thresholding and SDF estimation, log multitaper estimator      440 444
Thresholding and SDF estimation, log multitaper estimator for AR(2) process      446—448
Thresholding and SDF estimation, log multitaper estimator for AR(24) process      446—447
Thresholding and SDF estimation, log multitaper estimator for MRC process      447—449
Thresholding and SDF estimation, log multitaper estimator, RMSE      445—446
Thresholding and SDF estimation, log periodogram      432 435 439
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