Analog Signal Processing
Author:   Peter B. Aronhime ,  F.W. Stephenson
Publisher:   Kluwer Academic Publishers
Edition:   Reprinted from ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 6:3, 1994
ISBN:  

9780792395102


Pages:   100
Publication Date:   31 October 1994
Format:   Hardback
Availability:   In Print   Availability explained
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Analog Signal Processing


Overview

Analog Signal Processing brings together in one place important contributions and state-of-the-art research results in this rapidly advancing area. Analog Signal Processing serves as an excellent reference, providing insight into some of the most important issues in the field.

Full Product Details

Author:   Peter B. Aronhime ,  F.W. Stephenson
Publisher:   Kluwer Academic Publishers
Imprint:   Kluwer Academic Publishers
Edition:   Reprinted from ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 6:3, 1994
Dimensions:   Width: 15.60cm , Height: 0.70cm , Length: 23.40cm
Weight:   0.740kg
ISBN:  

9780792395102


ISBN 10:   0792395107
Pages:   100
Publication Date:   31 October 1994
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Global Design of Analog Cells Using Statistical Optimization Techniques.- A Multiple Input Differential Amplifier Based on Charge Sharing on a Floating-Gate MOSFET.- Design and Applications of a CMOS Analog Multiplier Cell Using the Differential Difference Amplifier.- On the Optimal Design of Switched-Capacitor Filter Circuits for Analog and Mixed-Signal Integrated Circuit Realization.- Optimal Gain Overdesign in Analog Filters.- A 7.2 GHz Bipolar Operational Transconductance Amplifier for Fully Integrated OTA-C Filters.- Current-Mode Synthesis Using Node Expansion Techniques.- Nonlinear Macromodeling with AWE.

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