| 000 | 03692nam a22005655i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-29057-3 | ||
| 003 | DE-He213 | ||
| 005 | 20220801213652.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 191128s2020 sz | s |||| 0|eng d | ||
| 020 |
_a9783030290573 _9978-3-030-29057-3 |
||
| 024 | 7 |
_a10.1007/978-3-030-29057-3 _2doi |
|
| 050 | 4 | _aTK5102.9 | |
| 072 | 7 |
_aTJF _2bicssc |
|
| 072 | 7 |
_aUYS _2bicssc |
|
| 072 | 7 |
_aTEC008000 _2bisacsh |
|
| 072 | 7 |
_aTJF _2thema |
|
| 072 | 7 |
_aUYS _2thema |
|
| 082 | 0 | 4 |
_a621.382 _223 |
| 100 | 1 |
_aDiniz, Paulo S. R. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _933546 |
|
| 245 | 1 | 0 |
_aAdaptive Filtering _h[electronic resource] : _bAlgorithms and Practical Implementation / _cby Paulo S. R. Diniz. |
| 250 | _a5th ed. 2020. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
|
| 300 |
_aXVIII, 495 p. 232 illus., 23 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 505 | 0 | _aIntroduction 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 | _aIn 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 | 0 |
_aSignal processing. _94052 |
|
| 650 | 0 |
_aElectronic circuits. _919581 |
|
| 650 | 0 |
_aTelecommunication. _910437 |
|
| 650 | 0 |
_aControl engineering. _931970 |
|
| 650 | 1 | 4 |
_aSignal, Speech and Image Processing . _931566 |
| 650 | 2 | 4 |
_aElectronic Circuits and Systems. _933547 |
| 650 | 2 | 4 |
_aCommunications Engineering, Networks. _931570 |
| 650 | 2 | 4 |
_aControl and Systems Theory. _931972 |
| 710 | 2 |
_aSpringerLink (Online service) _933548 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030290566 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030290580 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030290597 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-29057-3 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c75460 _d75460 |
||