Analog-to-Digital Conversion using ANNs with Non-Linear Feedback: A Hardware-Oriented Approach - Softcover

Ansari, Mohd. Samar; Anjum, Syed Gulraze

Softcover

ISBN 10: 3659287512 ISBN 13: 9783659287510

Verlag: LAP LAMBERT Academic Publishing, 2012

Inhaltsangabe

Analog-to-Digital conversion is a basic signal processing task that is needed at various places in the context of modern day mixed-signal systems like instrumentation & control systems, system-on-chip, etc. It is because of the fact that most real-world signals are analog in nature whereas most on-chip computation is digital. The technical literature is replete with electronic implementations of analog to digital converters including, but not limited to, Flash ADC, Successive Approximation ADC, and Sigma-Delta ADC. Given their promise of parallel processing and fast convergence, artificial neural networks have also been employed for analog-to-digital conversion. The first such attempt employed the Hopfield Neural Network and later several variants were introduced. However, most of the existing neural circuits for analog-to-digital conversion have an underlying similarity in the sense that they are derived from the Hopfield Network Architecture. A new scheme for analog-to-digital conversion utilizing a neural circuit for solving systems of linear equations is presented. The circuit employs (2n) opamps and (n+3) resistances for an n bit ADC.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2012
• Sprache: Englisch
• ISBN 10: 3659287512
• ISBN 13: 9783659287510
• Einband: Taschenbuch
• Anzahl der Seiten: 84
• Kontakt zum Hersteller: Editions Muse; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland