Title :
Employing artifitial neural networks for mapping from phase to sine aplitude in direct digital frequency synthesizers
Author_Institution :
Electr. Eng. Dept., K.N.Toosi Univ. of Technol., Tehran
Abstract :
This paper presents novel approaches for mapping from phase to sine amplitude in direct digital frequency synthesizers (DDSs) based on the function-approximation capability of artificial neural networks (ANNs). Feasibility, advantages, and some implementation issues associated with the proposed neural DDS family are discussed.
Keywords :
artificial intelligence; circuit analysis computing; frequency synthesizers; neural nets; artificial neural networks; direct digital frequency synthesizers; function-approximation capability; phase to sine amplitude mapping; Artificial Neural Networks; Direct Digital Frequency Synthesis; ROM-Less DDS;
Conference_Titel :
Frequency and Time Forum, 2004. EFTF 2004. 18th European
Conference_Location :
Guildford
Print_ISBN :
0-86341-384-6
