How Long to Read Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks

How Long Does it Take to Read Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks?

It takes the average reader 1 hour and 57 minutes to read Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks by João L. C. P. Domingues

Assuming a reading speed of 250 words per minute. Learn more

Description

In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the sizing task of RF IC design, which is used in two different steps of the automatic design process. The advances in telecommunications, such as the 5th generation broadband or 5G for short, open doors to advances in areas such as health care, education, resource management, transportation, agriculture and many other areas. Consequently, there is high pressure in today’s market for significant communication rates, extensive bandwidths and ultralow-power consumption. This is where radiofrequency (RF) integrated circuits (ICs) come in hand, playing a crucial role. This demand stresses out the problem which resides in the remarkable difficulty of RF IC design in deep nanometric integration technologies due to their high complexity and stringent performances. Given the economic pressure for high quality yet cheap electronics and challenging time-to-market constraints, there is an urgent need for electronic design automation (EDA) tools to increase the RF designers’ productivity and improve the quality of resulting ICs. In the last years, the automatic sizing of RF IC blocks in deep nanometer technologies has moved toward process, voltage and temperature (PVT)-inclusive optimizations to ensure their robustness. Each sizing solution is exhaustively simulated in a set of PVT corners, thus pushing modern workstations’ capabilities to their limits. Standard ANNs applications usually exploit the model’s capability of describing a complex, harder to describe, relation between input and target data. For that purpose, ANNs are a mechanism to bypass the process of describing the complex underlying relations between data by feeding it a significant number of previously acquired input/output data pairs that the model attempts to copy. Here, and firstly, the ANNs disrupt from the most recent trials of replacing the simulator in the simulation-based sizing with a machine/deep learning model, by proposing two different ANNs, the first classifies the convergence of the circuit for nominal and PVT corners, and the second predicts the oscillating frequencies for each case. The convergence classifier (CCANN) and frequency guess predictor (FGPANN) are seamlessly integrated into the simulation-based sizing loop, accelerating the overall optimization process. Secondly, a PVT regressor that inputs the circuit’s sizing and the nominal performances to estimate the PVT corner performances via multiple parallel artificial neural networks is proposed. Two control phases prevent the optimization process from being misled by inaccurate performance estimates. As such, this book details the optimal description of the input/output data relation that should be fulfilled. The developed description is mainly reflected in two of the system’s characteristics, the shape of the input data and its incorporation in the sizing optimization loop. An optimal description of these components should be such that the model should produce output data that fulfills the desired relation for the given training data once fully trained. Additionally, the model should be capable of efficiently generalizing the acquired knowledge in newer examples, i.e., never-seen input circuit topologies.

How long is Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks?

Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks by João L. C. P. Domingues is 115 pages long, and a total of 29,325 words.

This makes it 39% the length of the average book. It also has 36% more words than the average book.

How Long Does it Take to Read Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 40 minutes to read Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks aloud.

What Reading Level is Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks?

Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks?

Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks by João L. C. P. Domingues is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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