Signal decomposition using masked proximal operators:
In this monograph, the well-studied problem of decomposing a vector time series signal into components with different characteristics, such as smooth, periodic, nonnegative, or sparse are covered.
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston ; Delft
Now Publishers
2023
|
| Series: | Foundations and trends in signal processing
Vol. 17, no. 1 |
| Online Access: | TUM01 |
| Summary: | In this monograph, the well-studied problem of decomposing a vector time series signal into components with different characteristics, such as smooth, periodic, nonnegative, or sparse are covered. |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 online resource (86 pages) |
| ISBN: | 9781638281030 |
Staff View
MARC
| LEADER | 00000nmm a22000001cb4500 | ||
|---|---|---|---|
| 001 | BV048833864 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 230227s2023 |||| o||u| ||||||eng d | ||
| 020 | |a 9781638281030 |9 978-1-63828-103-0 | ||
| 024 | 7 | |a 10.1561/200000122 |2 doi | |
| 035 | |a (OCoLC)1371315363 | ||
| 035 | |a (DE-599)KEP083813993 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-91 | ||
| 100 | 1 | |a Meyers, Bennet E. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Signal decomposition using masked proximal operators |c Bennet E. Meyers (Stanford University), Stephen P. Boyd (Stanford University) |
| 264 | 1 | |a Boston ; Delft |b Now Publishers |c 2023 | |
| 300 | |a 1 online resource (86 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Foundations and trends in signal processing |v Vol. 17, no. 1 | |
| 500 | |a Description based on publisher supplied metadata and other sources | ||
| 520 | 3 | |a In this monograph, the well-studied problem of decomposing a vector time series signal into components with different characteristics, such as smooth, periodic, nonnegative, or sparse are covered. | |
| 700 | 1 | |a Boyd, Stephen P. |d 1958- |e Verfasser |0 (DE-588)129723177 |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-63828-102-3 |
| 912 | |a ZDB-30-PQE | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-034099406 | ||
| 966 | e | |u https://www.nowpublishers.com/article/Download/SIG-122 |l TUM01 |p ebook |x Verlag |3 Volltext | |
Record in the Search Index
| _version_ | 1804184937631318016 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Meyers, Bennet E. Boyd, Stephen P. 1958- |
| author_GND | (DE-588)129723177 |
| author_facet | Meyers, Bennet E. Boyd, Stephen P. 1958- |
| author_role | aut aut |
| author_sort | Meyers, Bennet E. |
| author_variant | b e m be bem s p b sp spb |
| building | Verbundindex |
| bvnumber | BV048833864 |
| collection | ZDB-30-PQE |
| ctrlnum | (OCoLC)1371315363 (DE-599)KEP083813993 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01498nmm a22003491cb4500</leader><controlfield tag="001">BV048833864</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230227s2023 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781638281030</subfield><subfield code="9">978-1-63828-103-0</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1561/200000122</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1371315363</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP083813993</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="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Meyers, Bennet E.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Signal decomposition using masked proximal operators</subfield><subfield code="c">Bennet E. Meyers (Stanford University), Stephen P. Boyd (Stanford University)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boston ; Delft</subfield><subfield code="b">Now Publishers</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (86 pages)</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">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Foundations and trends in signal processing</subfield><subfield code="v">Vol. 17, no. 1</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">In this monograph, the well-studied problem of decomposing a vector time series signal into components with different characteristics, such as smooth, periodic, nonnegative, or sparse are covered.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Boyd, Stephen P.</subfield><subfield code="d">1958-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)129723177</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-1-63828-102-3</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034099406</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://www.nowpublishers.com/article/Download/SIG-122</subfield><subfield code="l">TUM01</subfield><subfield code="p">ebook</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV048833864 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:35:55Z |
| indexdate | 2024-07-10T09:47:17Z |
| institution | BVB |
| isbn | 9781638281030 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034099406 |
| oclc_num | 1371315363 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 online resource (86 pages) |
| psigel | ZDB-30-PQE ebook |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Now Publishers |
| record_format | marc |
| series2 | Foundations and trends in signal processing |
| spelling | Meyers, Bennet E. Verfasser aut Signal decomposition using masked proximal operators Bennet E. Meyers (Stanford University), Stephen P. Boyd (Stanford University) Boston ; Delft Now Publishers 2023 1 online resource (86 pages) txt rdacontent c rdamedia cr rdacarrier Foundations and trends in signal processing Vol. 17, no. 1 Description based on publisher supplied metadata and other sources In this monograph, the well-studied problem of decomposing a vector time series signal into components with different characteristics, such as smooth, periodic, nonnegative, or sparse are covered. Boyd, Stephen P. 1958- Verfasser (DE-588)129723177 aut Erscheint auch als Druck-Ausgabe 978-1-63828-102-3 |
| spellingShingle | Meyers, Bennet E. Boyd, Stephen P. 1958- Signal decomposition using masked proximal operators |
| title | Signal decomposition using masked proximal operators |
| title_auth | Signal decomposition using masked proximal operators |
| title_exact_search | Signal decomposition using masked proximal operators |
| title_exact_search_txtP | Signal decomposition using masked proximal operators |
| title_full | Signal decomposition using masked proximal operators Bennet E. Meyers (Stanford University), Stephen P. Boyd (Stanford University) |
| title_fullStr | Signal decomposition using masked proximal operators Bennet E. Meyers (Stanford University), Stephen P. Boyd (Stanford University) |
| title_full_unstemmed | Signal decomposition using masked proximal operators Bennet E. Meyers (Stanford University), Stephen P. Boyd (Stanford University) |
| title_short | Signal decomposition using masked proximal operators |
| title_sort | signal decomposition using masked proximal operators |
| work_keys_str_mv | AT meyersbennete signaldecompositionusingmaskedproximaloperators AT boydstephenp signaldecompositionusingmaskedproximaloperators |