Ultra-Low Power Integrated Circuit Design: Circuits, Systems, and Applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
2014
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| Schriftenreihe: | Analog Circuits and Signal Processing
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| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext |
| Beschreibung: | This book describes the design of CMOS circuits for ultra-low power consumption including analog, radio frequency (RF), and digital signal processing circuits (DSP). The book addresses issues from circuit and system design to production design, and applies the ultra-low power circuits described to systems for digital hearing aids and capsule endoscope devices. Provides a valuable introduction to ultra-low power circuit design, aimed at practicing design engineers; Describes all key building blocks of ultra-low power circuits, from a systems perspective; Applies circuits and systems described to real product examples such as hearing aids and capsule endoscopes |
| Beschreibung: | 1 Online-Ressource (X, 232 p.) 210 illus., 80 illus. in color |
| ISBN: | 9781441999733 |
| DOI: | 10.1007/978-1-4419-9973-3 |
Internformat
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| 500 | |a This book describes the design of CMOS circuits for ultra-low power consumption including analog, radio frequency (RF), and digital signal processing circuits (DSP). The book addresses issues from circuit and system design to production design, and applies the ultra-low power circuits described to systems for digital hearing aids and capsule endoscope devices. Provides a valuable introduction to ultra-low power circuit design, aimed at practicing design engineers; Describes all key building blocks of ultra-low power circuits, from a systems perspective; Applies circuits and systems described to real product examples such as hearing aids and capsule endoscopes | ||
| 505 | 0 | |a Interface to the Analog World -- Low Noise Low Power Amplifier -- Data Conversions -- Low Power Design Methodologies for Digital Signal Processors -- Ultra-Low Power Transceiver Design -- Low Power Energy Meter Chip -- A Single-Phrase Energy Metering SoC with IAS-DSP and Ultra Low Power Metering Mode -- SoC for Hearing Aids -- SoC for Capsule Endoscope | |
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| 650 | 4 | |a Signal, Image and Speech Processing | |
| 650 | 4 | |a Ingenieurwissenschaften | |
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Datensatz im Suchindex
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| author | Tan, Nianxiong Nick |
| author_facet | Tan, Nianxiong Nick |
| author_role | aut |
| author_sort | Tan, Nianxiong Nick |
| author_variant | n n t nn nnt |
| building | Verbundindex |
| bvnumber | BV041470824 |
| collection | ZDB-2-ENG |
| contents | Interface to the Analog World -- Low Noise Low Power Amplifier -- Data Conversions -- Low Power Design Methodologies for Digital Signal Processors -- Ultra-Low Power Transceiver Design -- Low Power Energy Meter Chip -- A Single-Phrase Energy Metering SoC with IAS-DSP and Ultra Low Power Metering Mode -- SoC for Hearing Aids -- SoC for Capsule Endoscope |
| ctrlnum | (OCoLC)874381273 (DE-599)BVBBV041470824 |
| dewey-full | 621.3815 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.3815 |
| dewey-search | 621.3815 |
| dewey-sort | 3621.3815 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1007/978-1-4419-9973-3 |
| format | Electronic eBook |
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| id | DE-604.BV041470824 |
| illustrated | Illustrated |
| indexdate | 2024-08-01T10:56:00Z |
| institution | BVB |
| isbn | 9781441999733 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-026916967 |
| oclc_num | 874381273 |
| open_access_boolean | |
| owner | DE-Aug4 DE-92 DE-634 DE-859 DE-898 DE-BY-UBR DE-573 DE-861 DE-706 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
| owner_facet | DE-Aug4 DE-92 DE-634 DE-859 DE-898 DE-BY-UBR DE-573 DE-861 DE-706 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
| physical | 1 Online-Ressource (X, 232 p.) 210 illus., 80 illus. in color |
| psigel | ZDB-2-ENG |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| record_format | marc |
| series2 | Analog Circuits and Signal Processing |
| spellingShingle | Tan, Nianxiong Nick Ultra-Low Power Integrated Circuit Design Circuits, Systems, and Applications Interface to the Analog World -- Low Noise Low Power Amplifier -- Data Conversions -- Low Power Design Methodologies for Digital Signal Processors -- Ultra-Low Power Transceiver Design -- Low Power Energy Meter Chip -- A Single-Phrase Energy Metering SoC with IAS-DSP and Ultra Low Power Metering Mode -- SoC for Hearing Aids -- SoC for Capsule Endoscope Engineering Electronics Systems engineering Circuits and Systems Electronics and Microelectronics, Instrumentation Signal, Image and Speech Processing Ingenieurwissenschaften |
| title | Ultra-Low Power Integrated Circuit Design Circuits, Systems, and Applications |
| title_auth | Ultra-Low Power Integrated Circuit Design Circuits, Systems, and Applications |
| title_exact_search | Ultra-Low Power Integrated Circuit Design Circuits, Systems, and Applications |
| title_full | Ultra-Low Power Integrated Circuit Design Circuits, Systems, and Applications edited by Nianxiong Nick Tan, Dongmei Li, Zhihua Wang |
| title_fullStr | Ultra-Low Power Integrated Circuit Design Circuits, Systems, and Applications edited by Nianxiong Nick Tan, Dongmei Li, Zhihua Wang |
| title_full_unstemmed | Ultra-Low Power Integrated Circuit Design Circuits, Systems, and Applications edited by Nianxiong Nick Tan, Dongmei Li, Zhihua Wang |
| title_short | Ultra-Low Power Integrated Circuit Design |
| title_sort | ultra low power integrated circuit design circuits systems and applications |
| title_sub | Circuits, Systems, and Applications |
| topic | Engineering Electronics Systems engineering Circuits and Systems Electronics and Microelectronics, Instrumentation Signal, Image and Speech Processing Ingenieurwissenschaften |
| topic_facet | Engineering Electronics Systems engineering Circuits and Systems Electronics and Microelectronics, Instrumentation Signal, Image and Speech Processing Ingenieurwissenschaften |
| url | https://doi.org/10.1007/978-1-4419-9973-3 |
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