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Jinhui Wang

Researcher at University of South Alabama

Publications -  124
Citations -  821

Jinhui Wang is an academic researcher from University of South Alabama. The author has contributed to research in topics: CMOS & Domino. The author has an hindex of 10, co-authored 115 publications receiving 619 citations. Previous affiliations of Jinhui Wang include North Dakota State University & Beijing University of Technology.

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Journal ArticleDOI

Impedance Adapting Compensation for Low-Power Multistage Amplifiers

TL;DR: A power-efficient frequency compensation topology, Impedance Adapting Compensation (IAC), is presented, which has a normal Miller capacitor still needed to provide an internal negative feedback loop and a serial RC impedance as a load to the intermediate stage, improving performance parameters such as stability, gain-bandwidth product and power dissipation.
Proceedings ArticleDOI

Comparison Research between XY and Odd-Even Routing Algorithm of a 2-Dimension 3X3 Mesh Topology Network-on-Chip

TL;DR: This work demonstrates the two routing algorithms, XY routing algorithm and Odd-Even (OE) routing algorithm, and simulates and compared based on a 3X3 mesh topology NoC with NIRGAM simulator, showing that OE routing algorithm increases P parameter greatly as compared toXY routing algorithm.
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Analysis and optimization of leakage current characteristics in sub-65nm dual Vt footed domino circuits

TL;DR: It is observed that the average leakage current is universally higher than the date reported in the normal corner and the CLIL state is the optimum choice considering the leakage current reduction and the robustness to the process variations simultaneously.
Journal ArticleDOI

Low power and high performance dynamic CMOS XOR/XNOR gate design

TL;DR: A hybrid network technique is proposed in dynamic CMOS XOR/XNOR gate to reduce the power consumption, save the layout area and avoid signal skew, and their robustness to noise, process and temperature variations are discussed.
Journal ArticleDOI

Mitigating Nonlinear Effect of Memristive Synaptic Device for Neuromorphic Computing

TL;DR: A piecewise linear (PL) method is proposed to mitigate the nonlinear effect of memristors by calculating the weight update parameters along a piecewise line, which reduces the errors in the weight updating process.