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Matrix and tensor decompositions in signal processing /
The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor networks for the analysis of massive data. Parametric estimation algorithms will be presented for the identification of the main tensor decom...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London : Hoboken, NJ :
ISTE, Ltd. ; Wiley,
2021.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | OR_on1269508540 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 210929s2021 enka ob 001 0 eng d | ||
| 040 | |a DG1 |b eng |e rda |e pn |c DG1 |d DG1 |d OCLCO |d OCLCF |d OCLCQ |d OCLCO |d OCL |d OCLCQ |d UPM |d OCLCQ |d LANGC |d ORMDA |d OCLCQ | ||
| 020 | |a 9781119700999 |q (electronic bk. ; |q oBook) | ||
| 020 | |a 111970099X |q (electronic bk.) | ||
| 020 | |z 9781786301550 | ||
| 020 | |z 1786301555 | ||
| 024 | 7 | |a 10.1002/9781119700999 |2 doi | |
| 029 | 1 | |a AU@ |b 000069973436 | |
| 035 | |a (OCoLC)1269508540 | ||
| 037 | |a 9781786301550 |b O'Reilly Media | ||
| 050 | 4 | |a TK5102.9 | |
| 082 | 0 | 4 | |a 621.38220151 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Favier, Gérard, |e author. | |
| 245 | 1 | 0 | |a Matrix and tensor decompositions in signal processing / |c Gérard Favier. |
| 264 | 1 | |a London : |b ISTE, Ltd. ; |a Hoboken, NJ : |b Wiley, |c 2021. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 520 | |a The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor networks for the analysis of massive data. Parametric estimation algorithms will be presented for the identification of the main tensor decompositions. After a brief historical review of the compressed sampling methods, an overview of the main methods of retrieving matrices and tensors with missing data will be performed under the low rank hypothesis. Illustrative examples will be provided. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Signal processing |x Digital techniques |x Mathematics. | |
| 650 | 0 | |a Computer algorithms. | |
| 650 | 0 | |a Calculus of tensors. | |
| 650 | 0 | |a Matrices. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 6 | |a Traitement du signal |x Techniques numériques |x Mathématiques. | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 6 | |a Calcul tensoriel. | |
| 650 | 6 | |a Matrices. | |
| 650 | 7 | |a algorithms. |2 aat | |
| 650 | 7 | |a Algorithms. |2 fast |0 (OCoLC)fst00805020 | |
| 650 | 7 | |a Calculus of tensors. |2 fast |0 (OCoLC)fst00844137 | |
| 650 | 7 | |a Computer algorithms. |2 fast |0 (OCoLC)fst00872010 | |
| 650 | 7 | |a Matrices. |2 fast |0 (OCoLC)fst01012399 | |
| 650 | 7 | |a Signal processing |x Digital techniques |x Mathematics. |2 fast |0 (OCoLC)fst01118294 | |
| 776 | 0 | 8 | |i Print version: |a Favier, Gérard. |t Matrix and tensor decompositions in signal processing. |d London : Wiley-ISTE, 2018 |z 9781786301550 |w (OCoLC)1064694487 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781786301550/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||