L
Linbin Chen
Researcher at Northeastern University
Publications - 17
Citations - 385
Linbin Chen is an academic researcher from Northeastern University. The author has contributed to research in topics: Adder & Subtractor. The author has an hindex of 9, co-authored 16 publications receiving 276 citations.
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Journal ArticleDOI
Design and Evaluation of Multiple Valued Logic Gates Using Pseudo N-Type Carbon Nanotube FETs
TL;DR: A new family of MVL gates is proposed for implementation using carbon nanotube field-effect transistors (CNTFETs) and they show advantages in circuit area, power consumption and energy efficiency, while still incurring a comparable propagation delay.
Journal ArticleDOI
On the Design of Approximate Restoring Dividers for Error-Tolerant Applications
TL;DR: The simulation results show that with extensive savings for power dissipation and circuit complexity, the proposed designs offer better error tolerant capabilities for quotient oriented applications (image processing) than remainder oriented application (modulo operations).
Proceedings ArticleDOI
Design of Approximate Unsigned Integer Non-restoring Divider for Inexact Computing
TL;DR: This paper proposes several approximate divider designs; two different levels of approximation (cell and array levels) are investigated for non-restoring division and three approximate subtractor cells are proposed and designed for the basic subtraction.
Journal ArticleDOI
Design and Analysis of Inexact Floating-Point Adders
TL;DR: Comparison results show that the proposed inexact floating-point adders can improve the power consumption and power-delay product by 29.98 and 39.60 percent, respectively.
Journal ArticleDOI
Design, Evaluation and Application of Approximate High-Radix Dividers
TL;DR: The simulation results show that the proposed approximate dividers offer extensive saving in terms of power dissipation, circuit complexity, and delay, while only incurring in a small degradation in accuracy thus making them possibly suitable and interesting to some applications and domains such as low power/mobile computing.