Signal detection theory:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boston [u.a.]
Birkhäuser
2001
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | xviii, 725 Seiten Illustrationen |
| ISBN: | 3764341521 0817641521 |
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| 245 | 1 | 0 | |a Signal detection theory |c Vyacheslav P. Tuzlukov |
| 264 | 1 | |a Boston [u.a.] |b Birkhäuser |c 2001 | |
| 300 | |a xviii, 725 Seiten |b Illustrationen | ||
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| 650 | 4 | |a Signal detection | |
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Datensatz im Suchindex
| _version_ | 1804128521037021184 |
|---|---|
| adam_text | VYACHESLAV P. TUZLUKOV
SIGNAL DETECTION THEORY
WITH 144 FIGURES
BIRKHAUSE
R
BOSTO
N YY BASEL YY BERLIN
CONTENTS
PREFACE
XVII
INTRODUCTIO
N
1
BIBLIOGRAPHY 9
CHAPTE
R 1 CLASSICA
L SIGNA
L DETECTIO
N
THEOR
Y
11
1.1 GAUSSIAN APPROACH 12
1.1.1 KARHUNEN-LOEVE SERIES EXPANSION
TECHNIQUE 14
1.1.2 VARIATIONAL TECHNIQUE 21
1.1.3 REMARKS 23
1.2 MARKOV APPROACH 24
1.3 COMPARATIVE ANALYSIS 32
BIBILOGRAPHY 35
VIII
CONTENTS
CHAPTE
R 2 MODER
N SIGNA
L DETECTIO
N
THEOR
Y
38
2.1 UNKNOW
N SIGNAL PARAMETER
S 39
2.1.1 BAYES
DETECTO
R 42
2.1.2 ASYMPTOTI
C OPTIMA
L DETECTO
R 45
2.2 UNBIASE
D AN
D INVARIAN
T RULE
S 54
2.2.1 TESTIN
G COMPLE
X HYPOTHESES
: PRINCIPLE
S
OF UNBIASEDNES
S AN
D SIMILARIT
Y 54
2.2.2 UNBIASED RULES OF SIGNAL DETECTIO
N 58
2.2.3 TESTIN
G COMPLE
X HYPOTHESES
: PRINCIPLE
S
OF INVARIANC
E 68
2.2.4 INVARIAN
T RULES OF SIGNAL DETECTIO
N 69
2.3 MINIMA
X RULES 79
2.4 SEQUENTIA
L SIGNAL DETECTIO
N 86
2.5 NON-GAUSSIA
N NOISE 99
2.5.1 BASIC KNOWLEDGE 99
2.5.2 OPTIMA
L SIGNAL DETECTIO
N IN NONCORRELATE
D
NON-GAUSSIA
N NOISE 103
2.5.3 OPTIMA
L SIGNAL DETECTIO
N IN CORRELATE
D
NON-GAUSSIA
N NOISE 116
2.5.4 SIGNAL DETECTIO
N WIT
H COMPENSATIO
N
OF TH
E CLUTTE
R 127
2.5.5 SIGNAL DETECTIO
N IN NON-GAUSSIA
N NOISE
WIT
H BAND-LIMITE
D FREQUENCY SPECTRU
M ...
. 130
2.6 NONPARAMETRI
C DETECTIO
N 136
2.6.1 NONPARAMETRI
C DECISION-MAKING RULES 139
2.6.2 SIGNAL DETECTIO
N A
T FIXE
D SAMPLE SIZE 141
2.6.3 SEQUENTIA
L RAN
K DETECTIO
N 151
CONTENTS
IX
- 2.6.4 ADAPTATIO
N OF SEQUENTIA
L RAN
K DETECTOR
S ...
. 157
2.6.5 NONPARAMETRI
C SIGNAL DETECTIO
N IN
CORRELATE
D NOISE 165
2.7 NONPARAMETRI
C ASYMPTOTIC
S 177
2.7.1 RAN
K DETECTO
R 177
2.7.2 SIGN-RAN
K DETECTO
R 184
2.7.3 NONPARAMETRI
C DETECTOR
S BASED ON MIXED
STATISTIC
S WIT
H LINEAR TRANSFORMATIO
N OF
INPU
T DAT
A 189
2.7.4 TWO-SAMPL
E NONPARAMETRI
C DETECTOR
S 196
2.8 CONCLUSIONS 203
BIBLIOGRAPHY 208
CHAPTER 3 GENERALIZE
D APPROAC
H
225
3.1 BASIC CONCEPTS 226
3.2 CRITICISM 230
3.3 INITIAL PREMISES 233
3.4 LIKELIHOOD RATIO 235
3.5 ENGINEERING INTERPRETATION 240
3.6 PRODUCT VARIANCE 244
3.7 DISTRIBUTION LAW 250
3.7.1 PROCESS AT THE INPUT OF THE INTEGRATOR 250
3.7.2 PROCESS A
T TH
E OUTPUT OF TH
E INTEGRATOR 253
3.8 STATISTICAL CHARACTERISTICS 264
3.8.1 RESONANCE AMPLITUDE-FREQUENCY RESPONSE .
. 264
3.8.2 GAUSSIAN AMPLITUDE-FREQUENCY RESPONSE ..
. 277
3.9 CONCLUSIONS 284
BIBLIOGRAPHY 288
CONTENTS
CHAPTE
R 4 SIGNAL
S WIT
H STOCHASTI
C
PARAMETER
S
294
4.1 RANDO
M INITIA
L PHAS
E 297
4.1.1 LIKELIHOOD RATI
O 297
4.1.2 CORRELATIO
N DETECTO
R WIT
H QUADRATI
C
CHANNEL
S 309
4.1.3 GENERALIZED DETECTO
R 314
4.1.4 DISTRIBUTIO
N LAW 324
4.2 RANDO
M AMPLITUD
E AN
D PHAS
E 328
4.2.1 LIKELIHOOD RATI
O 329
4.2.2 CORRELATIO
N DETECTO
R WIT
H QUADRATUR
E
CHANNEL
S 341
4.2.3 GENERALIZE
D DETECTO
R 347
CASE OF SLOW FLUCTUATION
S 355
CASE OF RAPI
D FLUCTUATION
S 359
4.3 SIGNAL FIDELIT
Y IN RADA
R 364
4.3.1 TH
E WOODWAR
D AMBIGUIT
Y FUNCTIO
N 367
4.3.2 CORRELATIO
N NOISE 371
4.3.3 STATISTI
C OF INDIVIDUA
L TARGE
T RETUR
N
SIGNALS 374
4.3.4 STATISTI
C OF SET OF TARGE
T RETUR
N SIGNALS 375
4.3.5 APPROXIMAT
E ESTIMATIO
N OF FLUCTUATION
S ...
. 377
4.3.6 TARGE
T RETUR
N SIGNAL AN
D CORRELATIO
N
NOISE 379
4.3.7 FUNCTIONA
L PRINCIPLE
S OF DETECTIO
N
SYSTEM
S 385
4.4 NOISE SIGNALS IN RADA
R YY 389
4.4.1 GENERALIZED DETECTOR
: BASIC PRINCIPLE
S 392
CONTENTS
XI
4.4.2 GENERALIZED DETECTOR FOR NOISE SIGNALS 395
4.4.3 USE OF MODEL SIGNAL DELAY 396
4.4.4 MODEL SIGNAL DELAY IS NOT USED 402
4.4.5 RANDOM MODULATION OF FREQUENCY OR PHASE
OF THE MODEL SIGNAL 405
4.4.6 RADAR NOISE SIGNALS 407
4.5 CONCLUSIONS 413
BIBLIOGRAPHY 416
CHAPTER 5 GENERALIZE
D APPROACH
:
COMMUNICATION
S
422
5.1 SIMPLE BINARY DETECTION 424
5.2 GLOBAL BINARY DETECTION 429
5.2.1 GENERAL STATEMENTS 429
5.2.2 GENERALIZED DETECTOR 432
5.3 RANDOM INITIAL PHASE 440
5.3.1 GENERAL STATEMENTS 440
5.3.2 CORRELATION DETECTOR 447
5.3.3 GENERALIZED DETECTOR 451
5.4 RANDOM AMPLITUDE AND PHASE 459
5.4.1 GENERAL STATEMENTS 460
5.4.2 CORRELATION DETECTOR 464
5.4.3 GENERALIZED DETECTOR 468
5.4.4 GENERALIZED DETECTOR. CASE OF SLOW
FLUCTUATIONS 478
5.4.5 GENERALIZED DETECTOR. CASE OF RAPID
FLUCTUATIONS 482
5.5 MISMATCHES IN ENERGY 486
XII
CONTENTS
5.6 DIGITAL GENERALIZED DETECTOR 493
5.7 SIGNAL-TO-NOISE RATIO 497
5.7.1 ANALOG GENERALIZED DETECTOR 498
5.7.2 POLARITY COINCIDENCE GENERALIZED DETECTOR .
. 499
5.7.3 DIGITAL POLARITY COINCIDENCE GENERALIZED
DETECTOR 503
5.8 SIGNAL-TO-NOISE RATIO LOSSES 504
5.9 COMPARATIVE ANALYSIS 508
5.9.1 LOW-PASS RC-FILTER 508
5.9.2 SINGLE-CIRCUIT RLC-FILTER 510
5.9.3 II-FILTER 512
5.10 DIGITAL THRESHOLD DEVICE 514
5.10.1 THEORETICAL ANALYSIS OF DETECTION
PROBLEM 517
5.10.2 DEFINITION OF ASYMPTOTIC OPTIMUM 521
5.10.3 POWER SIGNAL-TO-NOISE RATIO 526
5.11 CONCLUSIONS 529
BIBLIOGRAPHY 535
CHAPTE
R 6 DETECTIO
N PERFORMANCE
S
541
6.1 DECISION-MAKING THEORY BASICS 541
6.2 PERFORMANCE CRITERIA 546
6.3 DETECTION CHARACTERISTICS 548
6.4 ESTIMATIONS 550
6.4.1 GENERALIZED DETECTOR 551
6.4.2 CORRELATION DETECTOR 564
6.5 TECHNIQUE OF COMPUTING 570
6.6 DETERMINISTIC SIGNAL 573
CONTENTS
XIII
6.6.1 RESONAN
T AMPLITUDE-FREQUENC
Y RESPONS
E ..
. 573
6.6.2 GAUSSIA
N AMPLITUDE-FREQUENC
Y RESPONS
E ..
. 576
6.7 RANDO
M INITIA
L PHAS
E 578
6.7.1 CORRELATIO
N DETECTO
R 578
6.7.2 GENERALIZE
D DETECTO
R 582
6.7.3 RESONAN
T AMPLITUDE-FREQUENC
Y RESPONS
E ..
. 588
6.7.4 GAUSSIA
N AMPLITUDE-FREQUENC
Y RESPONS
E ..
. 589
6.8 RANDO
M AMPLITUD
E AN
D PHAS
E 593
6.8.1 CORRELATIO
N DETECTO
R 594
6.8.2 GENERALIZED DETECTO
R 599
6.8.3 RESONAN
T AMPLITUDE-FREQUENC
Y RESPONS
E ..
. 606
6.8.4 GAUSSIA
N AMPLITUDE-FREQUENC
Y RESPONS
E ..
. 607
6.9 TRACKING SYSTE
M 611
6.9.1 DETERMINISTI
C SIGNAL 612
6.9.2 SIGNAL WIT
H RANDO
M INITIA
L PHAS
E 613
6.9.3 SIGNAL WIT
H STOCHASTI
C PARAMETER
S 615
6.10 CONCLUSIONS 622
BIBLIOGRAPHY 624
CHAPTE
R 7 EXPERIMENTA
L STUD
Y
631
7.1 EXPERIMENTA
L CONDITION
S 633
7.2 SIGNAL-TO-NOISE RATI
O = 15.92 D
B 636
7.2.1 CORRELATIO
N DETECTO
R 636
7.2.2 GENERALIZED DETECTOR
: INDICATO
R
FI{Z
UT
,T]
638
TH
E CASE
L^ L
O
+ N
642
TH
E CAS
E
L = L
O
+ N
644
XIV
CONTENTS
7.2.3 GENERALIZED DETECTOR: INDICATOR
645
THE CASE
L^ L
O
+ N
646
THE CASE
L = L
O
+ N
648
7.3 SIGNAL-TO-NOISE RATIO = 0.96 DB 655
7.3.1 CORRELATION DETECTOR 655
7.3.2 GENERALIZED DETECTOR: INDICATOR
FI[Z
UT
,T]
656
THE CASE
L^ L
O
+ N
659
THE CASE
L = L
O
+ N
660
7.3.3 GENERALIZED DETECTOR: INDICATOR
F2[Z
UT
,A*}
YY 661
THE CASE
L^ L
O
+ N
661
THE CASE
L = L
O
+ N
663
7.4 FUNCTIONAL PRINCIPLES 669
7.4.1 PROCESS AT THE INPUT OF THE SUMMATOR 670
A NO SIGNAL IN THE INPUT STOCHASTIC
PROCESS
Y(T)
670
A YES SIGNAL IN THE INPUT STOCHASTIC
PROCESS
Y(T)
673
7.4.2 PROCESS AT THE OUTPUT OF THE SUMMATOR 677
A NO SIGNAL IN THE INPUT STOCHASTIC
PROCESS
Y(T)
677
A YES SIGNAL IN THE INPUT STOCHASTIC
PROCESS
Y(T)
678
7.5 DECISION-MAKING RULE 679
7.6 FUNCTION OF CHANNELS 685
CONTENTS
XV
7.6.1 AUTOCORRELATION CHANNEL 685
7.6.2 CORRELATION CHANNEL 687
7.7 CONCLUSIONS 692
BIBLIOGRAPHY 696
CHAPTER 8 TYP
E OF SIGNAL
S
700
8.1. PULSE SIGNALS 704
8.2. FREQUENCY-MODULATED SIGNALS 706
8.3. PHASE-MANIPULATED SIGNALS 708
8.4 CONCLUSIONS 712
BIBLIOGRAPHY 712
EPILOGUE
713
NOTATION INDE
X
715
INDE
X
721
|
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| id | DE-604.BV013704428 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:50:33Z |
| institution | BVB |
| isbn | 3764341521 0817641521 |
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| record_format | marc |
| spelling | Tuzlukov, Vjačeslav P. Verfasser (DE-588)1067602070 aut Signal detection theory Vyacheslav P. Tuzlukov Boston [u.a.] Birkhäuser 2001 xviii, 725 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Literaturangaben Geluidsgolven gtt Signaal-detectietheorie gtt Telecommunicatie gtt Random noise theory Signal detection Signal theory (Telecommunication) Signaldetektion (DE-588)4181266-9 gnd rswk-swf Störgeräusch (DE-588)4343358-3 gnd rswk-swf Signaldetektion (DE-588)4181266-9 s DE-604 Störgeräusch (DE-588)4343358-3 s DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009366216&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Tuzlukov, Vjačeslav P. Signal detection theory Geluidsgolven gtt Signaal-detectietheorie gtt Telecommunicatie gtt Random noise theory Signal detection Signal theory (Telecommunication) Signaldetektion (DE-588)4181266-9 gnd Störgeräusch (DE-588)4343358-3 gnd |
| subject_GND | (DE-588)4181266-9 (DE-588)4343358-3 |
| title | Signal detection theory |
| title_auth | Signal detection theory |
| title_exact_search | Signal detection theory |
| title_full | Signal detection theory Vyacheslav P. Tuzlukov |
| title_fullStr | Signal detection theory Vyacheslav P. Tuzlukov |
| title_full_unstemmed | Signal detection theory Vyacheslav P. Tuzlukov |
| title_short | Signal detection theory |
| title_sort | signal detection theory |
| topic | Geluidsgolven gtt Signaal-detectietheorie gtt Telecommunicatie gtt Random noise theory Signal detection Signal theory (Telecommunication) Signaldetektion (DE-588)4181266-9 gnd Störgeräusch (DE-588)4343358-3 gnd |
| topic_facet | Geluidsgolven Signaal-detectietheorie Telecommunicatie Random noise theory Signal detection Signal theory (Telecommunication) Signaldetektion Störgeräusch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009366216&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT tuzlukovvjaceslavp signaldetectiontheory |