Implementation of High Level Synthesis for Adaptive FIR Filtering on Embedded System

Author(s):  
Suchada Sitjongsataporn ◽  
Aphirak Thitinaruemit ◽  
Sethakarn Prongnuch
MACRo 2015 ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 183-191 ◽  
Author(s):  
Tibor Tămas ◽  
Sándor Tihamér Brassai

AbstractThe purpose of this work is to present the design flow and the implementation of a neuro-fuzzy controller Intellectual Property (IP) core, using High Level Synthesis (HLS) tool. The realized IP core is designed for FPGA based embedded system architectures. The implemented control algorithm is a Sugeno model based Adaptive Neuro-Fuzzy Inference System (ANFIS). The optimization possibilities using the HLS tool and the designing of the interfaces for the IP core are presented.


Author(s):  
Akira OHCHI ◽  
Nozomu TOGAWA ◽  
Masao YANAGISAWA ◽  
Tatsuo OHTSUKI

2019 ◽  
Vol 12 (2) ◽  
pp. 1-26 ◽  
Author(s):  
Julian Oppermann ◽  
Melanie Reuter-Oppermann ◽  
Lukas Sommer ◽  
Andreas Koch ◽  
Oliver Sinnen

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