Work

Area/Energy-Efficient Gammatone Filters Based on Stochastic Computation

Year: 2017

Type: article

Source: IEEE Transactions on Very Large Scale Integration (VLSI) Systems

DOI: 10.1109/tvlsi.2017.2687404

Authors: Naoya Onizawa, Shunsuke Koshita, Shuichi Sakamoto, Masahide Abe, Masayuki Kawamata, Takahiro Hanyu

Institutions: Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Tohoku University, Research Institute of Electrical Communication, Tohoku University

Language: English

Topic: Analog and Mixed-Signal Circuit Design

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: University of Tokyo, Japan Society for the Promotion of Science

Awards: Brainware Large-Scale Vision Hardware Based on Parallel Stochastic Computing, Design of Ultra-Low Power IP-Packet-Processing LSI Based on Probabilistic Computing, Unified Theory for Synthesis of Optimal Structures of Next-Generation Digital Filters Based on Stochastic Computation

OpenAlex ID: W2604844909

FWCI: 1.115

Cites: 30

Cited by: 16

Related to: 10