| 书目名称 | Machine Learning-based Design and Optimization of High-Speed Circuits |
| 编辑 | Vazgen Melikyan |
| 视频video | |
| 概述 | Describes methods of design and optimization of circuits which can exchange information at 128/256/512 GB per second;.Includes methods for practically all types of high-speed circuits: mixed-signal, h |
| 图书封面 |  |
| 描述 | .This book describes machine learning-based new principles, methods of design and optimization of high-speed integrated circuits, included in one electronic system, which can exchange information between each other up to 128/256/512 Gbps speed. The efficiency of methods has been proven and is described on the examples of practical designs. This will enable readers to use them in similar electronic system designs. The author demonstrates newly developed principles and methods to accelerate communication between ICs, working in non-standard operating conditions, considering signal deviation compensation with linearity self-calibration. The observed circuit types also include but are not limited to mixed-signal, high performance heterogeneous integrated circuits as well as digital cores. . |
| 出版日期 | Book 2024 |
| 关键词 | IC Design and Optimization; IC Design using machine learning; High Speed Circuits; Design of high perfo |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-50714-4 |
| isbn_softcover | 978-3-031-50716-8 |
| isbn_ebook | 978-3-031-50714-4 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 18:56:51
