System identification using regular and quantized observations: applications of large deviations principles
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY [u.a.]
Springer
2013
|
| Schriftenreihe: | SpringerBriefs in mathematics
|
| Online-Zugang: | BTU01 TUM01 UBA01 UBM01 UBT01 UBW01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781461462910 9781461462927 |
| DOI: | 10.1007/978-1-4614-6292-7 |
Internformat
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Datensatz im Suchindex
| _version_ | 1804150204863086593 |
|---|---|
| adam_text | SYSTEM IDENTIFICATION USING REGULAR AND QUANTIZED OBSERVATIONS
/ HE, QI
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION AND OVERVIEW.-SYSTEM IDENTIFICATION: FORMULATION.-LARGE
DEVIATIONS: AN INTRODUCTION.-LDP UNDER I.I.D. NOISES.-LDP UNDER
MIXING NOISES.-APPLICATIONS TO BATTERY DIAGNOSIS.-APPLICATIONS TO
MEDICAL SIGNAL PROCESSING.-APPLICATIONS TO ELECTRIC MACHINES
REMARKS AND CONCLUSION
REFERENCES
INDEX
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
SYSTEM IDENTIFICATION USING REGULAR AND QUANTIZED OBSERVATIONS
/ HE, QI
: 2013
ABSTRACT / INHALTSTEXT
THIS BRIEF PRESENTS CHARACTERIZATIONS OF IDENTIFICATION ERRORS UNDER A
PROBABILISTIC FRAMEWORK WHEN OUTPUT SENSORS ARE BINARY, QUANTIZED, OR
REGULAR. BY CONSIDERING BOTH SPACE COMPLEXITY IN TERMS OF SIGNAL
QUANTIZATION AND TIME COMPLEXITY WITH RESPECT TO DATA WINDOW SIZES, THIS
STUDY PROVIDES A NEW PERSPECTIVE TO UNDERSTAND THE FUNDAMENTAL
RELATIONSHIP BETWEEN PROBABILISTIC ERRORS AND RESOURCES, WHICH MAY
REPRESENT DATA SIZES IN COMPUTER USAGE, COMPUTATIONAL COMPLEXITY IN
ALGORITHMS, SAMPLE SIZES IN STATISTICAL ANALYSIS AND CHANNEL BANDWIDTHS
IN COMMUNICATIONS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519 |
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| discipline | Mathematik |
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| spelling | He, Qi Verfasser aut System identification using regular and quantized observations applications of large deviations principles Qi He ; Le Yi Wang ; G. George Yin New York, NY [u.a.] Springer 2013 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in mathematics Wang, Le Yi Verfasser aut Yin, George 1954- Verfasser (DE-588)115596798 aut https://doi.org/10.1007/978-1-4614-6292-7 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025892299&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025892299&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | He, Qi Wang, Le Yi Yin, George 1954- System identification using regular and quantized observations applications of large deviations principles |
| title | System identification using regular and quantized observations applications of large deviations principles |
| title_auth | System identification using regular and quantized observations applications of large deviations principles |
| title_exact_search | System identification using regular and quantized observations applications of large deviations principles |
| title_full | System identification using regular and quantized observations applications of large deviations principles Qi He ; Le Yi Wang ; G. George Yin |
| title_fullStr | System identification using regular and quantized observations applications of large deviations principles Qi He ; Le Yi Wang ; G. George Yin |
| title_full_unstemmed | System identification using regular and quantized observations applications of large deviations principles Qi He ; Le Yi Wang ; G. George Yin |
| title_short | System identification using regular and quantized observations |
| title_sort | system identification using regular and quantized observations applications of large deviations principles |
| title_sub | applications of large deviations principles |
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