Title :
Binary Sequences With Good Spectral Properties Obtained by Genetic Algorithms
Author :
Lampasi, Domenico Alessandro ; Podestà, Luca ; Carbone, Paolo
Author_Institution :
Dept. of Electr. Eng, La Sapienza Univ., Rome
Abstract :
This paper describes a novel method for the digital synthesis of high quality signals by means of 1-bit digital-to-analog converters. The aim of this paper is the identification of the best binary sequences for signal generation and the analysis of their properties. Such sequences are obtained by genetic algorithms, either independently of a physical implementation of the analog-to-digital converter, or by optimizing the parameters of an oversampled conversion
Keywords :
binary sequences; digital-analogue conversion; genetic algorithms; signal synthesis; 1-bit digital-to-analog converters; analog system testing; binary sequences; design for testability; digital synthesis; genetic algorithms; mixed analog-digital integrated circuits; sigma-delta modulation; signal generation; spectral properties; Binary sequences; Built-in self-test; Circuit testing; Digital-analog conversion; Frequency; Genetic algorithms; Pulse width modulation; Signal generators; Signal synthesis; Table lookup; Analog system testing; design for testability; genetic algorithms; mixed analog-digital integrated circuits; self- testing; sigma-delta modulation;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2006.887324
