Virtual design of an audio lifelogging system : tools for IoT systems / Brian Mears, Mohit Shah.
Material type:
TextSeries: Synthesis lectures on algorithms and software in engineering ; 16Publication details: San Rafael : Morgan & Claypool Publishers, 2016.Description: ix, 63 pages : illustrations ; 24 cmISBN: - 9781627054638 (pbk.) :
- 519.82 MEA
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
| Standard Loan | Moylish Library Main Collection | 519.82 MEA (Browse shelf(Opens below)) | 1 | Available | 39002100624999 |
Enhanced descriptions from Syndetics:
The availability of inexpensive, custom, highly integrated circuits is enabling some very powerful systems that bring together sensors, smart phones, wearables, cloud computing, and other technologies. To design these types of complex systems we are advocating a top-down simulation methodology to identify problems early. This approach enables software development to start prior to expensive chip and hardware development. We call the overall approach virtual design. This book explains why simulation has become important for chip design and provides an introduction to some of the simulation methods used. The audio lifelogging research project demonstrates the virtual design process in practice.
The goals of this book are to: explain how silicon design has become more closely involved with system design show how virtual design enables top down design explain the utility of simulation at different abstraction levels show how open source simulation software was used in audio lifelogging.
The target audience for this book are faculty, engineers, and students who are interested in developing digital devices for Internet of Things (IoT) types of products.
Author notes provided by Syndetics
Brian Mears has a Ph.D. from City University, London. He worked in the computer industry in the U.K., at CERN in Geneva, at Bell Labs designing integrated circuits for audio compression, and at Intel Corporation for 29 years where he was a silicon architect and manager for embedded 32-bit microcontrollers, multi-core digital signal processors, and smartphone SoCs. His experience with complex SoC chip design led him to employ modeling and simulation techniques for silicon architecture design and software development. Retired from Intel Corporation he is currently an adjunct faculty member at Arizona State University researching design techniques and tools for architecture design.Mohit Shah received his Ph.D. from Arizona State University in 2015. He co-founded Genesis Artificial Intelligence, which specializes in advanced system and application design. He received his B.Tech from Nirma University, India in 2008. His research interests lie in speech processing and analysis methods, covering both DSP and machine-learning related aspects. He has authored several publications in these areas. His prior work in industry included research internships at Intel and Palo Alto Research Center (Xerox PARC) in 2012 and 2013, respectively.