Adaptive Filtering: Algorithms and Practical Implementation
In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2020]
|
| Ausgabe: | Fifth Edition |
| Schlagworte: | |
| Zusammenfassung: | In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter ‘Kalman Filtering’ is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers |
| Beschreibung: | In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter ‘Kalman Filtering’ is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers Introduction to Adaptive Filtering.- Fundamentals of Adaptive Filtering.- The Least-Mean-Square (LMS) Algorithm.- LMS-Based Algorithms.- LMS-Based Algorithms.- Conventional RLS Adaptive Filter.- Set-Membership Adaptive Filtering.- Adaptive Lattice-Based RLS Algorithms.- Fast Transversal RLS Algorithms.- QR-Decomposition-Based RLS Filters.- Adaptive IIR Filters.- Nonlinear Adaptive Filtering.- Subband Adaptive Filters.- Blind Adaptive Filtering.- Kalman Filtering.- Complex Differentiation.- Quantization Effects in the LMS Algorithm.- Quantization Effects in the RLS Algorithm.- Analysis of Set-Membership Affine Projection Algorithm.- Index. |
| Beschreibung: | xviii, 495 Seiten Diagramme 1426 grams |
| ISBN: | 9783030290566 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV046321916 | ||
| 003 | DE-604 | ||
| 005 | 20200131 | ||
| 007 | t | ||
| 008 | 200107s2020 |||| |||| 00||| eng d | ||
| 020 | |a 9783030290566 |9 978-3-030-29056-6 | ||
| 024 | 3 | |a 9783030290566 | |
| 035 | |a (OCoLC)1140165332 | ||
| 035 | |a (DE-599)BVBBV046321916 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-29T | ||
| 100 | 1 | |a Diniz, Paulo Sergio Ramirez |d 1956- |e Verfasser |0 (DE-588)142917508 |4 aut | |
| 245 | 1 | 0 | |a Adaptive Filtering |b Algorithms and Practical Implementation |
| 250 | |a Fifth Edition | ||
| 264 | 1 | |a Cham |b Springer |c [2020] | |
| 300 | |a xviii, 495 Seiten |b Diagramme |c 1426 grams | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter ‘Kalman Filtering’ is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers | ||
| 500 | |a Introduction to Adaptive Filtering.- Fundamentals of Adaptive Filtering.- The Least-Mean-Square (LMS) Algorithm.- LMS-Based Algorithms.- LMS-Based Algorithms.- Conventional RLS Adaptive Filter.- Set-Membership Adaptive Filtering.- Adaptive Lattice-Based RLS Algorithms.- Fast Transversal RLS Algorithms.- QR-Decomposition-Based RLS Filters.- Adaptive IIR Filters.- Nonlinear Adaptive Filtering.- Subband Adaptive Filters.- Blind Adaptive Filtering.- Kalman Filtering.- Complex Differentiation.- Quantization Effects in the LMS Algorithm.- Quantization Effects in the RLS Algorithm.- Analysis of Set-Membership Affine Projection Algorithm.- Index. | ||
| 520 | |a In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter ‘Kalman Filtering’ is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers | ||
| 650 | 4 | |a bicssc | |
| 650 | 4 | |a bicssc | |
| 650 | 4 | |a bicssc | |
| 650 | 4 | |a bisacsh | |
| 650 | 4 | |a bisacsh | |
| 650 | 4 | |a bisacsh | |
| 650 | 4 | |a Signal processing | |
| 650 | 4 | |a Image processing | |
| 650 | 4 | |a Speech processing systems | |
| 650 | 4 | |a Electronic circuits | |
| 650 | 4 | |a Electrical engineering | |
| 650 | 4 | |a Control engineering | |
| 650 | 4 | |a Engineering | |
| 650 | 0 | 7 | |a Adaptives Filter |0 (DE-588)4141377-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Digitale Signalverarbeitung |0 (DE-588)4113314-6 |2 gnd |9 rswk-swf |
| 653 | |a Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik | ||
| 689 | 0 | 0 | |a Digitale Signalverarbeitung |0 (DE-588)4113314-6 |D s |
| 689 | 0 | 1 | |a Adaptives Filter |0 (DE-588)4141377-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-030-29057-3 |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-031698911 | ||
Datensatz im Suchindex
| _version_ | 1804180805354782720 |
|---|---|
| any_adam_object | |
| author | Diniz, Paulo Sergio Ramirez 1956- |
| author_GND | (DE-588)142917508 |
| author_facet | Diniz, Paulo Sergio Ramirez 1956- |
| author_role | aut |
| author_sort | Diniz, Paulo Sergio Ramirez 1956- |
| author_variant | p s r d psr psrd |
| building | Verbundindex |
| bvnumber | BV046321916 |
| ctrlnum | (OCoLC)1140165332 (DE-599)BVBBV046321916 |
| edition | Fifth Edition |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04422nam a2200553 c 4500</leader><controlfield tag="001">BV046321916</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20200131 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">200107s2020 |||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783030290566</subfield><subfield code="9">978-3-030-29056-6</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9783030290566</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1140165332</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046321916</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-29T</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Diniz, Paulo Sergio Ramirez</subfield><subfield code="d">1956-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)142917508</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Adaptive Filtering</subfield><subfield code="b">Algorithms and Practical Implementation</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Fifth Edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer</subfield><subfield code="c">[2020]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xviii, 495 Seiten</subfield><subfield code="b">Diagramme</subfield><subfield code="c">1426 grams</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">In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter ‘Kalman Filtering’ is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Introduction to Adaptive Filtering.- Fundamentals of Adaptive Filtering.- The Least-Mean-Square (LMS) Algorithm.- LMS-Based Algorithms.- LMS-Based Algorithms.- Conventional RLS Adaptive Filter.- Set-Membership Adaptive Filtering.- Adaptive Lattice-Based RLS Algorithms.- Fast Transversal RLS Algorithms.- QR-Decomposition-Based RLS Filters.- Adaptive IIR Filters.- Nonlinear Adaptive Filtering.- Subband Adaptive Filters.- Blind Adaptive Filtering.- Kalman Filtering.- Complex Differentiation.- Quantization Effects in the LMS Algorithm.- Quantization Effects in the RLS Algorithm.- Analysis of Set-Membership Affine Projection Algorithm.- Index.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter ‘Kalman Filtering’ is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Signal processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Image processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Speech processing systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic circuits</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electrical engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Control engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Adaptives Filter</subfield><subfield code="0">(DE-588)4141377-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Digitale Signalverarbeitung</subfield><subfield code="0">(DE-588)4113314-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Digitale Signalverarbeitung</subfield><subfield code="0">(DE-588)4113314-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Adaptives Filter</subfield><subfield code="0">(DE-588)4141377-5</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="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-3-030-29057-3</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031698911</subfield></datafield></record></collection> |
| id | DE-604.BV046321916 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:41:36Z |
| institution | BVB |
| isbn | 9783030290566 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031698911 |
| oclc_num | 1140165332 |
| open_access_boolean | |
| owner | DE-29T |
| owner_facet | DE-29T |
| physical | xviii, 495 Seiten Diagramme 1426 grams |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer |
| record_format | marc |
| spelling | Diniz, Paulo Sergio Ramirez 1956- Verfasser (DE-588)142917508 aut Adaptive Filtering Algorithms and Practical Implementation Fifth Edition Cham Springer [2020] xviii, 495 Seiten Diagramme 1426 grams txt rdacontent n rdamedia nc rdacarrier In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter ‘Kalman Filtering’ is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers Introduction to Adaptive Filtering.- Fundamentals of Adaptive Filtering.- The Least-Mean-Square (LMS) Algorithm.- LMS-Based Algorithms.- LMS-Based Algorithms.- Conventional RLS Adaptive Filter.- Set-Membership Adaptive Filtering.- Adaptive Lattice-Based RLS Algorithms.- Fast Transversal RLS Algorithms.- QR-Decomposition-Based RLS Filters.- Adaptive IIR Filters.- Nonlinear Adaptive Filtering.- Subband Adaptive Filters.- Blind Adaptive Filtering.- Kalman Filtering.- Complex Differentiation.- Quantization Effects in the LMS Algorithm.- Quantization Effects in the RLS Algorithm.- Analysis of Set-Membership Affine Projection Algorithm.- Index. bicssc bisacsh Signal processing Image processing Speech processing systems Electronic circuits Electrical engineering Control engineering Engineering Adaptives Filter (DE-588)4141377-5 gnd rswk-swf Digitale Signalverarbeitung (DE-588)4113314-6 gnd rswk-swf Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik Digitale Signalverarbeitung (DE-588)4113314-6 s Adaptives Filter (DE-588)4141377-5 s DE-604 Erscheint auch als Online-Ausgabe 978-3-030-29057-3 |
| spellingShingle | Diniz, Paulo Sergio Ramirez 1956- Adaptive Filtering Algorithms and Practical Implementation bicssc bisacsh Signal processing Image processing Speech processing systems Electronic circuits Electrical engineering Control engineering Engineering Adaptives Filter (DE-588)4141377-5 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd |
| subject_GND | (DE-588)4141377-5 (DE-588)4113314-6 |
| title | Adaptive Filtering Algorithms and Practical Implementation |
| title_auth | Adaptive Filtering Algorithms and Practical Implementation |
| title_exact_search | Adaptive Filtering Algorithms and Practical Implementation |
| title_full | Adaptive Filtering Algorithms and Practical Implementation |
| title_fullStr | Adaptive Filtering Algorithms and Practical Implementation |
| title_full_unstemmed | Adaptive Filtering Algorithms and Practical Implementation |
| title_short | Adaptive Filtering |
| title_sort | adaptive filtering algorithms and practical implementation |
| title_sub | Algorithms and Practical Implementation |
| topic | bicssc bisacsh Signal processing Image processing Speech processing systems Electronic circuits Electrical engineering Control engineering Engineering Adaptives Filter (DE-588)4141377-5 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd |
| topic_facet | bicssc bisacsh Signal processing Image processing Speech processing systems Electronic circuits Electrical engineering Control engineering Engineering Adaptives Filter Digitale Signalverarbeitung |
| work_keys_str_mv | AT dinizpaulosergioramirez adaptivefilteringalgorithmsandpracticalimplementation |