Machine Learning based Design and Optimization of High Speed Circuits is popular PDF and ePub book, written by Vazgen Melikyan in 2024-01-31, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Machine Learning based Design and Optimization of High Speed Circuits can be Read Online from any device for your convenience.
Machine Learning based Design and Optimization of High Speed Circuits Book PDF Summary
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.
Detail Book of Machine Learning based Design and Optimization of High Speed Circuits PDF
- Author : Vazgen Melikyan
- Release : 31 January 2024
- Publisher : Springer Nature
- ISBN : 9783031507144
- Genre : Technology & Engineering
- Total Page : 351 pages
- Language : English
- PDF File Size : 12,5 Mb
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