Glottis: An Analog Model: Analysis and Design Glottis in CMOS for low power Auditory Processors

Raj, Nikhil; Sinha, Rajesh Kumar

ISBN 10: 6135817388 / ISBN 13: 9786135817386

Editore: LAP LAMBERT Academic Publishing, 2018

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Dati bibliografici

• Titolo: Glottis: An Analog Model: Analysis and Design Glottis in CMOS for low power Auditory Processors
• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 6135817388
• ISBN 13: 9786135817386
• Rilegatura: Brossura
• Condizione: New

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Riassunto

Today, nearly all computation is done digitally but then so why to bother with analog computation? Faster isn’t necessarily means better and more precise isn’t necessarily better either. Analog implementations of certain computations can be vastly more efficient and in terms of power dissipation, circuit area, or both then equivalent digital implementations. Increasingly, analog circuit models of biology are being used to improve performance in engineering systems. In this book, an electrical analogy model of Glottis is presented by exploiting fluid volume velocity to current, fluid pressure to voltage, and linear and nonlinear mechanical impedances to linear and nonlinear electrical impedances. The glottis is modeled as current source which includes linear, non-linear impedances to represent laminar and turbulent flow respectively, in vocal tract. Such model of glottis will naturally help in synthesis of speech signals of interest at reduced power consumption and better real-time performance. The complete architecture of Glottis is designed using MOSFET model of TSMC 0.18um technology and analyzed with the help of Eldo Spice simulator.

L'autore

Dr. Nikhil Raj completed his MTech and PhD from NIT Kurukshetra, India. He has more than 8 years of teaching experience and is currently working with ECE Department at MRCE Hyderabad, India. Dr. Rajesh Kumar Sinha has 18 years of teaching experience and is currently working with Department of Mathematics at NIT Patna, India for the last 12 years.