Signals, instrumentation, control, and machine learning: an integrative introduction
"This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning. It presents the interactive industrial grade software testbed of mold oscillator that captures the distort...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Singapore
World Scientific
[2022]
|
Schlagworte: | |
Zusammenfassung: | "This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning. It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs. All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts. The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign."-- |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | xviii, 824 Seiten Illustrationen |
ISBN: | 9789811251863 9789811252310 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV049623626 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | t | ||
008 | 240321s2022 xxua||| |||| 00||| eng d | ||
020 | |a 9789811251863 |c ebook |9 978-981-125-186-3 | ||
020 | |a 9789811252310 |9 978-981-125-231-0 | ||
035 | |a (DE-599)BVBBV049623626 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
044 | |a xxu |c XD-US |a xxk |c XA-GB |a si |c XB-SG | ||
049 | |a DE-573 | ||
084 | |a ZN 6040 |0 (DE-625)157496: |2 rvk | ||
084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
100 | 1 | |a Bentsman, Joseph |e Verfasser |0 (DE-588)111781811X |4 aut | |
245 | 1 | 0 | |a Signals, instrumentation, control, and machine learning |b an integrative introduction |c Joseph Bentsman |
264 | 1 | |a Singapore |b World Scientific |c [2022] | |
300 | |a xviii, 824 Seiten |b Illustrationen | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a Includes bibliographical references and index | ||
520 | 3 | |a "This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning. It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs. All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts. The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign."-- | |
650 | 0 | 7 | |a Testbed |0 (DE-588)7731743-9 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Signalverarbeitung |0 (DE-588)4054947-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Systemintegration |0 (DE-588)4464875-3 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Systemanalyse |0 (DE-588)4116673-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
653 | 0 | |a Engineering / Mathematical models | |
653 | 0 | |a System analysis | |
653 | 0 | |a Dynamics | |
689 | 0 | 0 | |a Testbed |0 (DE-588)7731743-9 |D s |
689 | 0 | 1 | |a Signalverarbeitung |0 (DE-588)4054947-1 |D s |
689 | 0 | 2 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
689 | 0 | 3 | |a Systemintegration |0 (DE-588)4464875-3 |D s |
689 | 0 | 4 | |a Systemanalyse |0 (DE-588)4116673-5 |D s |
689 | 0 | |5 DE-604 | |
776 | 0 | |z 9789811251863 |c hbk. | |
776 | 0 | |z 9789811252310 |c pbk. | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-981-12-5187-0 |
999 | |a oai:aleph.bib-bvb.de:BVB01-034967609 |
Datensatz im Suchindex
_version_ | 1804186519937744896 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Bentsman, Joseph |
author_GND | (DE-588)111781811X |
author_facet | Bentsman, Joseph |
author_role | aut |
author_sort | Bentsman, Joseph |
author_variant | j b jb |
building | Verbundindex |
bvnumber | BV049623626 |
classification_rvk | ZN 6040 ST 300 |
ctrlnum | (DE-599)BVBBV049623626 |
discipline | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
discipline_str_mv | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03128nam a2200517 c 4500</leader><controlfield tag="001">BV049623626</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">240321s2022 xxua||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789811251863</subfield><subfield code="c">ebook</subfield><subfield code="9">978-981-125-186-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789811252310</subfield><subfield code="9">978-981-125-231-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049623626</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield><subfield code="a">xxk</subfield><subfield code="c">XA-GB</subfield><subfield code="a">si</subfield><subfield code="c">XB-SG</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-573</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ZN 6040</subfield><subfield code="0">(DE-625)157496:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bentsman, Joseph</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)111781811X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Signals, instrumentation, control, and machine learning</subfield><subfield code="b">an integrative introduction</subfield><subfield code="c">Joseph Bentsman</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore</subfield><subfield code="b">World Scientific</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xviii, 824 Seiten</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">"This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning. It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs. All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts. The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign."--</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Testbed</subfield><subfield code="0">(DE-588)7731743-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Signalverarbeitung</subfield><subfield code="0">(DE-588)4054947-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Systemintegration</subfield><subfield code="0">(DE-588)4464875-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Systemanalyse</subfield><subfield code="0">(DE-588)4116673-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Engineering / Mathematical models</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">System analysis</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Dynamics</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Testbed</subfield><subfield code="0">(DE-588)7731743-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Signalverarbeitung</subfield><subfield code="0">(DE-588)4054947-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Systemintegration</subfield><subfield code="0">(DE-588)4464875-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Systemanalyse</subfield><subfield code="0">(DE-588)4116673-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="z">9789811251863</subfield><subfield code="c">hbk.</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="z">9789811252310</subfield><subfield code="c">pbk.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-981-12-5187-0</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034967609</subfield></datafield></record></collection> |
id | DE-604.BV049623626 |
illustrated | Illustrated |
index_date | 2024-07-03T23:37:29Z |
indexdate | 2024-07-10T10:12:26Z |
institution | BVB |
isbn | 9789811251863 9789811252310 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034967609 |
open_access_boolean | |
owner | DE-573 |
owner_facet | DE-573 |
physical | xviii, 824 Seiten Illustrationen |
publishDate | 2022 |
publishDateSearch | 2022 |
publishDateSort | 2022 |
publisher | World Scientific |
record_format | marc |
spelling | Bentsman, Joseph Verfasser (DE-588)111781811X aut Signals, instrumentation, control, and machine learning an integrative introduction Joseph Bentsman Singapore World Scientific [2022] xviii, 824 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index "This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning. It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs. All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts. The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign."-- Testbed (DE-588)7731743-9 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Systemintegration (DE-588)4464875-3 gnd rswk-swf Systemanalyse (DE-588)4116673-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Engineering / Mathematical models System analysis Dynamics Testbed (DE-588)7731743-9 s Signalverarbeitung (DE-588)4054947-1 s Maschinelles Lernen (DE-588)4193754-5 s Systemintegration (DE-588)4464875-3 s Systemanalyse (DE-588)4116673-5 s DE-604 9789811251863 hbk. 9789811252310 pbk. Erscheint auch als Online-Ausgabe 978-981-12-5187-0 |
spellingShingle | Bentsman, Joseph Signals, instrumentation, control, and machine learning an integrative introduction Testbed (DE-588)7731743-9 gnd Signalverarbeitung (DE-588)4054947-1 gnd Systemintegration (DE-588)4464875-3 gnd Systemanalyse (DE-588)4116673-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)7731743-9 (DE-588)4054947-1 (DE-588)4464875-3 (DE-588)4116673-5 (DE-588)4193754-5 |
title | Signals, instrumentation, control, and machine learning an integrative introduction |
title_auth | Signals, instrumentation, control, and machine learning an integrative introduction |
title_exact_search | Signals, instrumentation, control, and machine learning an integrative introduction |
title_exact_search_txtP | Signals, instrumentation, control, and machine learning an integrative introduction |
title_full | Signals, instrumentation, control, and machine learning an integrative introduction Joseph Bentsman |
title_fullStr | Signals, instrumentation, control, and machine learning an integrative introduction Joseph Bentsman |
title_full_unstemmed | Signals, instrumentation, control, and machine learning an integrative introduction Joseph Bentsman |
title_short | Signals, instrumentation, control, and machine learning |
title_sort | signals instrumentation control and machine learning an integrative introduction |
title_sub | an integrative introduction |
topic | Testbed (DE-588)7731743-9 gnd Signalverarbeitung (DE-588)4054947-1 gnd Systemintegration (DE-588)4464875-3 gnd Systemanalyse (DE-588)4116673-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Testbed Signalverarbeitung Systemintegration Systemanalyse Maschinelles Lernen |
work_keys_str_mv | AT bentsmanjoseph signalsinstrumentationcontrolandmachinelearninganintegrativeintroduction |