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Gustafsson F. — Adaptive filtering and change detection
Gustafsson F. — Adaptive filtering and change detection



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Название: Adaptive filtering and change detection

Автор: Gustafsson F.

Аннотация:

This is a good book in terms of the topics selected and the approaches adopted...useful for all specialists interested in digital signal processing, who will find the book an indispensable and enlightening read.


Язык: en

Рубрика: Математика/Вероятность/Статистика и приложения/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2000

Количество страниц: 500

Добавлена в каталог: 03.06.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
Matched filter      164
Mathematica      317 321
MATLAB™      ix
Matrix inversion lemma      192
Maximum a posteriori      9 457
Maximum a posteriori probability      235
Maximum a posteriori sequence setection      395
Maximum generalized likelihood      74 240
Maximum likelihood      71 73 236
Maximum marginalized likelihood      74
MCMC      90 101 233 438
MD      209
MDL      125 150 181 241 446
MDR      440
Mean time between false alarms      28 440
Mean time to detection      29 440
Measurement update      385
Medical diagnosis      40
Merging      379 385
Metropolis step      392
MGL      74
MIMO      121
Minimal order residual filter      420
Minimizing argument      60
Minimum description length      125 181 241 446
Minimum mean square error      122
Minimum variance      458
Minimum variance equalizer      160
Minimum variance estimator      62
Misadjustment      145
Missed detection rate      440
Missing data      384
ML      71 236
MLR      345 353
MLR, two-filter algorithm      358
MML      74
MODE      378 474
Model differences      209
Model structure selection      382
Model validation      77 205
Model, AR      472
Model, ARMA      120
Model, ARMAX      120
Model, ARX      473
Model, change in the mean      471
Model, change in the variance      472
Model, FIR      472
Model, linear regression      115 472
Model, linear state space      473
Model, MIMO      121
Model, multi-      474
Model, non-linear parametric      473
Model, OE      120
Model, SISO      121
Model, state space with additive changes      473
Modulus restoral      165
Monte Carlo      429
Most probable branch      386
Motion model      16
MTD      29 440
MTFA      28 440
Multi-input multi-output      121
Multi-rate signal processing      279
Multi-step algorithm      143
Multiple model pruning algorithm      386
mv      458
Navigation      6
Near-field scattering      117
Newton — Raphson algorithm      127
Neyman — Pearson lemma      349
NLMS      136
Noise cancelation      115 167
Non-causal filter      427
Non-causal Wiener filter      461
Non-parametric approach      58
Non-stationary signal      5
Normalized LMS      136
Nuisance      70
Observability      297
Observer      15 287 406
Observer companion form      272
Ockam's razor      124
Ockham's razor      93
Octave      ix
oe      120
Optimal segmentation      256
Optimal simulation      143
Ordered statistics      105
Outlier      176 227
Outliers      296 383
Output Error      120
Parameter covaxiance, asymptotic      199
Parameter tracking      5
Parity equation      405
Parity space      407
Parseval's formula      160
Parsimonious principle      93 124
Peak error      430
Penalty term      90 93 124 232 241
PLS      125
Point mass filter      73
Predictive least squares      125
Primary residual      215
Projection theorem      282 452
Prune      385
Pruning      379
Pseudo-linear regression      119
QR factorization      301
QR-factorization      189
Quasi-score      215
Radar      329
Random walk      62 142
Rauch — Tung — Striebel formulas      293
Rayleigh distribution      117
Recursive least squares      138 191
Recursive maximum likelihood      130
Recursive parameter segmentation      244
Recursive signal segmentation      94
Reduced state space estimation      390
Regularization      139
Resampling techniques      432
Residual      404
Residual generation      18
Residual structure      405
Rice distribution      117
RLS      61 138 191
RLS, algorithm      192
RLS, windowed      193
RMSE      429
Robustness      406
Root mean square error      429
Run test      66
Sato      165
Schwartz criterion      125 241
Segmentation      29 58 89 92 94 231 244 381 389
Selected availability      341
Self-tuning      137
Sensitivity      406
Sensitivity analysis      299
ser      155
Shortest route problem      162
Sign data algorithm      136
Sign test      105
Sign-error algorithm      136
Sign-sign algorithm      136
Signal estimation      5
Signal processing      59
Signal, airbag      32
Signal, aircraft altitude      36 107
Signal, aircraft dynamics      419
Signal, belching sheep      45 227
Signal, DC motor      42 49 173 327 417
Signal, earthquake      40
Signal, econometrics      35
Signal, EKG      48 247
Signal, electronic nose      52
Signal, friction      12 21 23 27 175
Signal, fuel consumption      9 20 26 81
Signal, human EEG      39 173
Signal, NMT sales      132
Signal, nose      132
Signal, paper refinery      33 82
Signal, path      46 249
Signal, photon emission      34 106
Signal, rat EEG      36 39 108 123 227
Signal, speech      42 248
Signal, target tracking      328
Signal, telephone sales figures      53
Signal, tracking      15 21 28
Signal, valve stiction      50
Signal-to-noise ratio      155
Single-input single-output      121
Singular value decomposition      407
SISO      121
Sliding window      59 205
Smoothing      68 360 427
SNR      155
Spectral analysis      140
Spectral factorization      290 463
Specular multi-path      117
Spread of the mean      387 399
Square root      301
State estimation      5
State feedback      6
State space      14
State space model      233 473
State space model, algebraic methods      404
State space partitioning      390
Static friction      50
Steepest descent algorithm      126
Step size      62
Step-size      134
Stiction      50
Stirling's formula      85 225 259
Stochastic gradient algorithm      62 126 137
Stochastic least squares      122
Stopping rule      19 63 442
Super formula      289
Surveillance      5 58
SVD      407
switch      218
Symbol error rate      155
System identification      114 128
Target tracking      6
Time update      385
Time-invariant filter      427
Toolbox      ix
Tracking error      429
Training sequence      155
Transient error      144
Trellis diagram      162
Two-filter smoothing formula      293
Unknown input observer      277
Variance change      75
Variance error      144 429
Viterbi algorithm      161
Viterbi equalizer      160
voting      406
Wiener — Hopf equation      122
Wiener — Hopf equations      461
Windowed least squares      61 140
Windowing      59
Wishart distribution      85 258
WLS      140
z-transform      462
Zero forcing equalizer      159
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