SICE Journal of Control, Measurement, and System Integration
Online ISSN : 1884-9970
Print ISSN : 1882-4889
ISSN-L : 1882-4889
Special Issue on SICE Annual Conference 2014
A Design Method of Delta-Sigma Data Conversion System with Pre-Filter
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2015 Volume 8 Issue 2 Pages 154-160


AD/DA conversion has become a core technology in digital signal processing. Signal compression is one of the important components for AD/DA conversion systems. Delta-sigma modulator (DSM) is well known as an effective method for encoding analog signals into digital signals. Traditional data conversion systems are composed of the post-filter and the DSM. It is required to satisfy small quantization noise and small signal distortion characteristics by appropriate design of the filter and DSM. In this study, the authors propose a new design method of data conversion system that includes pre-filter in addition to the traditional data conversion system. To design easier, an evaluation framework of the data conversion system is proposed. Then, a design algorithm based on the evaluation framework is proposed by using particle swarm optimization algorithm. Post and pre-filters are designed so as to minimize the effect of the noise and the signal distortion due to quantization. In this paper, the authors verify the AD/DA systems with post and pre-filters by using the voice signal compression system. The effectiveness of the proposed design method is illustrated by the numerical simulations.

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© 2015 The Society of Instrument and Control Engineers
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