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A novel ROM-less architecture for Direct Digital Frequency Synthesizer based on Linear Neural Networks

机译:基于线性神经网络的直接数字频率合成器的新型无ROM架构

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In Conventional Direct Digital Frequency Synthesizer, the presence of ROM results in large size and complexity. Some DDFS is based on a mathematical series which also has some computational time delay. This paper deals with the Artificial Neural Network based DDFS architecture with linear transfer function, unlike the non-linear transfer function [3], which has low complexity, low computational delay and high spectral purity. The proposed DDFS has a high SNR (Signal to Noise Ratio) of about 48dB.
机译:在常规的直接数字频率合成器中,ROM的存在导致大尺寸和复杂性。某些DDFS基于数学序列,该数学序列也具有一些计算时间延迟。与非线性传递函数[3]不同,本文研究了具有线性传递函数的基于人工神经网络的DDFS体系结构,非线性传递函数具有较低的复杂度,较低的计算延迟和较高的光谱纯度。提出的DDFS具有大约48dB的高SNR(信噪比)。

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