Spectrum compression for narrowband signals in telemetry reception networks:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Stuttgart
Fraunhofer Verlag
2023
|
| Schriftenreihe: | Research Reports from the Chair of Information Technology
Vol. 21 |
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | viii, 217 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm |
| ISBN: | 9783839619032 3839619033 |
Internformat
MARC
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| 100 | 1 | |a Schadhauser, Michael |0 (DE-588)1292512407 |4 aut | |
| 245 | 1 | 0 | |a Spectrum compression for narrowband signals in telemetry reception networks |c Michael Schadhauser |
| 246 | 1 | 3 | |a Spektrumskompression für Schmalbandsignale in Telemetrie-Empfangsnetzwerken |
| 264 | 1 | |a Stuttgart |b Fraunhofer Verlag |c 2023 | |
| 300 | |a viii, 217 Seiten |b Illustrationen, Diagramme |c 21 cm x 14.8 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Research Reports from the Chair of Information Technology |v Vol. 21 | |
| 502 | |b Dissertation |c Friedrich-Alexander-Universität Erlangen-Nürnberg |d 2022 | ||
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| 650 | 0 | 7 | |a TEMES |0 (DE-588)4184684-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Telemetrie |0 (DE-588)4184655-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Funknetz |0 (DE-588)4216130-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Schmalbandübertragung |0 (DE-588)4403438-6 |2 gnd |9 rswk-swf |
| 653 | |a Spectrum Compression | ||
| 653 | |a Telemetry Network | ||
| 653 | |a Narrowband Signals | ||
| 653 | |a IQ Compression | ||
| 653 | |a Bat | ||
| 653 | |a Nachrichtentechniker, IoT Ingenieure | ||
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Datensatz im Suchindex
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| adam_text | CONTENTS
1
INTRODUCTION
............................................................................................................
1
1.1
DEMAND
FOR
IQ
COMPRESSION
IN
TELEMETRY
APPLICATIONS
...............................
1
1.2
SUMMARY
OF
CONTRIBUTIONS
.............................................................................
2
2
SPECTRUM
COMPRESSION
IN
WIRELESS
NETWORKS
.....................................................
5
2.1
STATE-OF-THE-ART
METHODS
FOR
SPECTRAL
COMPRESSION
.....................................
5
2.2
POTENTIAL
ENHANCEMENTS
IN
THE
CONTEXT
OF
TELEMETRY
.....................................
9
2.3
PROPOSAL
FOR
A
SUB-BAND
CODING
SYSTEM
IN
TELEMETRY
NETWORKS
................
13
3
FUNDAMENTALS
OF
SPECTRAL
SIGNAL
DECOMPOSITION
..............................................
15
3.1
BASICS
OF
MULTI-RATE
THEORY
...........................................................................
15
3.1.1
DFT
AND
Z-TRANSFORM
........................................................................
15
3.1.2
DECIMATION
AND
EXPANSION
..................................................................
16
3.1.3
MODULATION
AND
CHANNEL
STACKING
......................................................
17
3.2
INTRODUCTION
TO
FILTER
BANK
THEORY
..................................................................
18
3.2.1
GENERAL
FILTER
BANK
STRUCTURE
...........................................................
19
3.2.2
ERROR
SOURCES
OF
FILTER
BANKS
...........................................................
20
3.2.3
SPECIALIZED
FILTER
BANKS
.....................................................................
23
3.3
BLOCK
TRANSFORMS
..............................................................................................
27
3.3.1
KARHUNEN-LOEVE
TRANSFORM
...............................................................
28
3.3.2
COMPLEX
LAPPED
TRANSFORMS
............................................................
29
3.4
QUANTIZATION
.......................................................................................................
33
3.5
SOURCE
CODING
.................................................................................................
35
4
SPECTRAL
SEGMENTATION
OF
TELEMETRY
IQ
STREAMS
..............................................
39
4.1
PROTOTYPE
DESIGN
FOR
CRITICALLY
SAMPLED
FILTER
BANKS
...................................
40
4.2
PROTOTYPES
FOR
PERFECTLY
RECONSTRUCTING
BLOCK
TRANSFORMS
..........................
50
4.3
DESIGN
OF
ARBITRARY
NON-CRITICALLY
SAMPLED
PROTOTYPES
................................
56
4.3.1
EVALUATION
OF
STANDARD
PROTOTYPES
IN
SPECTRAL
ANALYSIS
....................
57
4.3.2
DESIGN
OF
DISCRETE
FIR
FILTERS
FOR
ARBITRARY
SLIGHT
OVERSAMPLING
.
61
4.4
PERFORMANCE
DISCUSSION
OF
PROTOTYPE
DESIGN
ROUTINES
................................
68
4.5
FILTER
BANK
EVALUATION
....................................................................................
70
4.5.1
CODING
GAIN
........................................................................................
73
4.5.2
BASIS
RESTRICTION
ERROR
........................................................................
76
4.5.3
ALIASING
DISTORTION
FOR
PARTIAL
SYNTHESIS
.............................................
79
4.5.4
MEASURE
OF
COMPUTATIONAL
COMPLEXITY
............................................
83
4.5.5
PERFORMANCE
DISCUSSION
OF
SPECTRAL
SEGMENTATION
TECHNIQUES
...
86
5
SUB-BAND
SIGNAL
DETECTION
....................................................................................
89
5.1
VARIANCE
ESTIMATOR
...........................................................................................
90
5.2
DFT-BASED
VARIANCE
ESTIMATION
.....................................................................
96
5.3
STATISTICAL
EVALUATION
BY
FITTING
TESTS
.............................................................
101
5.4
PERFORMANCE
DISCUSSION
OF
DETECTION
METHODS
.............................................
106
6
SIGNAL
COMPRESSION
................................................................................................
117
6.1
PREDICTION
FOR
NARROWBAND
IQ
SAMPLES
............................................................
118
6.1.1
AUTOCORRELATION
AS
METRIC
FOR
INTER-SAMPLE
SIMILARITIES
...................
120
6.1.2
FILTER
DESIGN
FOR
LINEAR
PREDICTION
OF
IQ
DATA
...................................
125
6.1.3
PERFORMANCE
DISCUSSION
OF
LINEAR
PREDICTION
ON
TELEMETRY
DATA
.
.
129
6.1.4 SPECIFICATION
OF
QUANTIZATION
..............................................................
135
6.1.5
EVALUATION
OF
SIGNAL
DISTORTION
........................................................
145
6.2
INVESTIGATION
OF
RESIDUAL
DISTRIBUTIONS
..........................................................
148
6.3
ENCODING
OF
THE
RESIDUAL
STREAMS
................................................................
159
7
CONCLUSION
AND
FURTHER
RESEARCH
.......................................................................
183
7.1
CONCLUSION
.....................................................................................................
183
7.2
FURTHER
RESEARCH
............................................................................................
186
A
APPENDIX
...................................................................................................................
189
A.
1
PARAMETER
SETUP
FOR
QMF
OPTIMIZATION
ROUTINES
.......................................
189
A.2
PARAMETER
SETUP
FOR
PR
WINDOW
DESIGN
ROUTINES
.......................................
189
A.3
RESIDUAL
COMPRESSION
FOR
HIGHER
CONSTELLATION
SIGNALS
..............................
190
A.4
COMPRESSION
PERFORMANCE
WITH
IN-BAND
SIGNAL
DETECTION
...........................
191
A.5
SIGNAL
SPECTRA
EMPLOYED
FOR
THE
EVALUATION
.................................................
194
A.6
ETSITS
103
357
STANDARD
.............................................................................
196
LIST
OF
ABBREVIATIONS
...................................................................................................
197
LIST
OF
SYMBOLS
AND
OPERATORS
....................................................................................
201
BIBLIOGRAPHY
...................................................................................................................
205
|
| adam_txt |
CONTENTS
1
INTRODUCTION
.
1
1.1
DEMAND
FOR
IQ
COMPRESSION
IN
TELEMETRY
APPLICATIONS
.
1
1.2
SUMMARY
OF
CONTRIBUTIONS
.
2
2
SPECTRUM
COMPRESSION
IN
WIRELESS
NETWORKS
.
5
2.1
STATE-OF-THE-ART
METHODS
FOR
SPECTRAL
COMPRESSION
.
5
2.2
POTENTIAL
ENHANCEMENTS
IN
THE
CONTEXT
OF
TELEMETRY
.
9
2.3
PROPOSAL
FOR
A
SUB-BAND
CODING
SYSTEM
IN
TELEMETRY
NETWORKS
.
13
3
FUNDAMENTALS
OF
SPECTRAL
SIGNAL
DECOMPOSITION
.
15
3.1
BASICS
OF
MULTI-RATE
THEORY
.
15
3.1.1
DFT
AND
Z-TRANSFORM
.
15
3.1.2
DECIMATION
AND
EXPANSION
.
16
3.1.3
MODULATION
AND
CHANNEL
STACKING
.
17
3.2
INTRODUCTION
TO
FILTER
BANK
THEORY
.
18
3.2.1
GENERAL
FILTER
BANK
STRUCTURE
.
19
3.2.2
ERROR
SOURCES
OF
FILTER
BANKS
.
20
3.2.3
SPECIALIZED
FILTER
BANKS
.
23
3.3
BLOCK
TRANSFORMS
.
27
3.3.1
KARHUNEN-LOEVE
TRANSFORM
.
28
3.3.2
COMPLEX
LAPPED
TRANSFORMS
.
29
3.4
QUANTIZATION
.
33
3.5
SOURCE
CODING
.
35
4
SPECTRAL
SEGMENTATION
OF
TELEMETRY
IQ
STREAMS
.
39
4.1
PROTOTYPE
DESIGN
FOR
CRITICALLY
SAMPLED
FILTER
BANKS
.
40
4.2
PROTOTYPES
FOR
PERFECTLY
RECONSTRUCTING
BLOCK
TRANSFORMS
.
50
4.3
DESIGN
OF
ARBITRARY
NON-CRITICALLY
SAMPLED
PROTOTYPES
.
56
4.3.1
EVALUATION
OF
STANDARD
PROTOTYPES
IN
SPECTRAL
ANALYSIS
.
57
4.3.2
DESIGN
OF
DISCRETE
FIR
FILTERS
FOR
ARBITRARY
SLIGHT
OVERSAMPLING
.
61
4.4
PERFORMANCE
DISCUSSION
OF
PROTOTYPE
DESIGN
ROUTINES
.
68
4.5
FILTER
BANK
EVALUATION
.
70
4.5.1
CODING
GAIN
.
73
4.5.2
BASIS
RESTRICTION
ERROR
.
76
4.5.3
ALIASING
DISTORTION
FOR
PARTIAL
SYNTHESIS
.
79
4.5.4
MEASURE
OF
COMPUTATIONAL
COMPLEXITY
.
83
4.5.5
PERFORMANCE
DISCUSSION
OF
SPECTRAL
SEGMENTATION
TECHNIQUES
.
86
5
SUB-BAND
SIGNAL
DETECTION
.
89
5.1
VARIANCE
ESTIMATOR
.
90
5.2
DFT-BASED
VARIANCE
ESTIMATION
.
96
5.3
STATISTICAL
EVALUATION
BY
FITTING
TESTS
.
101
5.4
PERFORMANCE
DISCUSSION
OF
DETECTION
METHODS
.
106
6
SIGNAL
COMPRESSION
.
117
6.1
PREDICTION
FOR
NARROWBAND
IQ
SAMPLES
.
118
6.1.1
AUTOCORRELATION
AS
METRIC
FOR
INTER-SAMPLE
SIMILARITIES
.
120
6.1.2
FILTER
DESIGN
FOR
LINEAR
PREDICTION
OF
IQ
DATA
.
125
6.1.3
PERFORMANCE
DISCUSSION
OF
LINEAR
PREDICTION
ON
TELEMETRY
DATA
.
.
129
6.1.4 SPECIFICATION
OF
QUANTIZATION
.
135
6.1.5
EVALUATION
OF
SIGNAL
DISTORTION
.
145
6.2
INVESTIGATION
OF
RESIDUAL
DISTRIBUTIONS
.
148
6.3
ENCODING
OF
THE
RESIDUAL
STREAMS
.
159
7
CONCLUSION
AND
FURTHER
RESEARCH
.
183
7.1
CONCLUSION
.
183
7.2
FURTHER
RESEARCH
.
186
A
APPENDIX
.
189
A.
1
PARAMETER
SETUP
FOR
QMF
OPTIMIZATION
ROUTINES
.
189
A.2
PARAMETER
SETUP
FOR
PR
WINDOW
DESIGN
ROUTINES
.
189
A.3
RESIDUAL
COMPRESSION
FOR
HIGHER
CONSTELLATION
SIGNALS
.
190
A.4
COMPRESSION
PERFORMANCE
WITH
IN-BAND
SIGNAL
DETECTION
.
191
A.5
SIGNAL
SPECTRA
EMPLOYED
FOR
THE
EVALUATION
.
194
A.6
ETSITS
103
357
STANDARD
.
196
LIST
OF
ABBREVIATIONS
.
197
LIST
OF
SYMBOLS
AND
OPERATORS
.
201
BIBLIOGRAPHY
.
205 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Schadhauser, Michael |
| author_GND | (DE-588)1292512407 |
| author_facet | Schadhauser, Michael |
| author_role | aut |
| author_sort | Schadhauser, Michael |
| author_variant | m s ms |
| building | Verbundindex |
| bvnumber | BV048993843 |
| classification_rvk | ZN 6400 |
| ctrlnum | (OCoLC)1385286985 (DE-599)DNB1291196374 |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| discipline_str_mv | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Thesis Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV048993843 |
| illustrated | Illustrated |
| index_date | 2024-07-03T22:08:05Z |
| indexdate | 2024-07-10T09:52:16Z |
| institution | BVB |
| institution_GND | (DE-588)4786605-6 |
| isbn | 9783839619032 3839619033 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034257138 |
| oclc_num | 1385286985 |
| open_access_boolean | |
| owner | DE-29 DE-29T DE-83 |
| owner_facet | DE-29 DE-29T DE-83 |
| physical | viii, 217 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Fraunhofer Verlag |
| record_format | marc |
| series | Research Reports from the Chair of Information Technology |
| series2 | Research Reports from the Chair of Information Technology |
| spelling | Schadhauser, Michael (DE-588)1292512407 aut Spectrum compression for narrowband signals in telemetry reception networks Michael Schadhauser Spektrumskompression für Schmalbandsignale in Telemetrie-Empfangsnetzwerken Stuttgart Fraunhofer Verlag 2023 viii, 217 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm txt rdacontent n rdamedia nc rdacarrier Research Reports from the Chair of Information Technology Vol. 21 Dissertation Friedrich-Alexander-Universität Erlangen-Nürnberg 2022 Datenkompression (DE-588)4121121-2 gnd rswk-swf TEMES (DE-588)4184684-9 gnd rswk-swf Telemetrie (DE-588)4184655-2 gnd rswk-swf Funknetz (DE-588)4216130-7 gnd rswk-swf Schmalbandübertragung (DE-588)4403438-6 gnd rswk-swf Spectrum Compression Telemetry Network Narrowband Signals IQ Compression Bat Nachrichtentechniker, IoT Ingenieure (DE-588)4113937-9 Hochschulschrift gnd-content TEMES (DE-588)4184684-9 s Schmalbandübertragung (DE-588)4403438-6 s Datenkompression (DE-588)4121121-2 s DE-604 Funknetz (DE-588)4216130-7 s Telemetrie (DE-588)4184655-2 s Fraunhofer IRB-Verlag (DE-588)4786605-6 pbl Research Reports from the Chair of Information Technology Vol. 21 (DE-604)BV019867784 21 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=5c1183a4a3b94f3ea07f403884c8e1a3&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034257138&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p vlb 20230601 DE-101 https://d-nb.info/provenance/plan#vlb |
| spellingShingle | Schadhauser, Michael Spectrum compression for narrowband signals in telemetry reception networks Research Reports from the Chair of Information Technology Datenkompression (DE-588)4121121-2 gnd TEMES (DE-588)4184684-9 gnd Telemetrie (DE-588)4184655-2 gnd Funknetz (DE-588)4216130-7 gnd Schmalbandübertragung (DE-588)4403438-6 gnd |
| subject_GND | (DE-588)4121121-2 (DE-588)4184684-9 (DE-588)4184655-2 (DE-588)4216130-7 (DE-588)4403438-6 (DE-588)4113937-9 |
| title | Spectrum compression for narrowband signals in telemetry reception networks |
| title_alt | Spektrumskompression für Schmalbandsignale in Telemetrie-Empfangsnetzwerken |
| title_auth | Spectrum compression for narrowband signals in telemetry reception networks |
| title_exact_search | Spectrum compression for narrowband signals in telemetry reception networks |
| title_exact_search_txtP | Spectrum compression for narrowband signals in telemetry reception networks |
| title_full | Spectrum compression for narrowband signals in telemetry reception networks Michael Schadhauser |
| title_fullStr | Spectrum compression for narrowband signals in telemetry reception networks Michael Schadhauser |
| title_full_unstemmed | Spectrum compression for narrowband signals in telemetry reception networks Michael Schadhauser |
| title_short | Spectrum compression for narrowband signals in telemetry reception networks |
| title_sort | spectrum compression for narrowband signals in telemetry reception networks |
| topic | Datenkompression (DE-588)4121121-2 gnd TEMES (DE-588)4184684-9 gnd Telemetrie (DE-588)4184655-2 gnd Funknetz (DE-588)4216130-7 gnd Schmalbandübertragung (DE-588)4403438-6 gnd |
| topic_facet | Datenkompression TEMES Telemetrie Funknetz Schmalbandübertragung Hochschulschrift |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=5c1183a4a3b94f3ea07f403884c8e1a3&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034257138&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV019867784 |
| work_keys_str_mv | AT schadhausermichael spectrumcompressionfornarrowbandsignalsintelemetryreceptionnetworks AT fraunhoferirbverlag spectrumcompressionfornarrowbandsignalsintelemetryreceptionnetworks AT schadhausermichael spektrumskompressionfurschmalbandsignaleintelemetrieempfangsnetzwerken AT fraunhoferirbverlag spektrumskompressionfurschmalbandsignaleintelemetrieempfangsnetzwerken |