Paper Info
Title
On the correlation of non-jittered and chaotically-jittered PWM signals carrying maximum information
Abstract
We here address the problem of computing the correlation of a PWM signal that carries information and is possibly chaotically jittered in order to avoid high peaks in the power spectrum. A restricted analytical formula is given along with a more general semi-analytical procedure relying on a low-complexity Monte-Carlo estimation. Based on the developed tools, it is shown that the chaos-based frequency modulation of the timebase of the PWM signal is able to cancel the asymptotically periodic trend of the correlation thus reducing the impulsive part of the power spectrum.
Year
DOI
Venue
2002
10.1109/ISCAS.2002.1010369
ISCAS (3)
Keywords
Field
DocType
asymptotically periodic trend cancellation,power spectrum peaks,power spectrum impulsive part reduction,restricted analytical formula,chaos,frequency modulation,jitter,nonjittered signals,pwm signal timebase,signal correlation computation tools,low-complexity monte carlo estimation,chaotically-jittered signals,chaos-based frequency modulation,monte carlo methods,electromagnetic compatibility,general semi-analytical procedure,pulse width modulation,maximum information carrying pwm signals,correlation methods,emc interference reduction,switches,signal processing,interference,power generation,filtering,monte carlo,power spectrum
Periodic trends,Monte Carlo method,Computer science,Control theory,Pulse-width modulation,Pulse-frequency modulation,Electronic engineering,Electromagnetic compatibility,Spectral density,Jitter,Frequency modulation
Conference
Volume
Citations 
PageRank 
3
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Riccardo Rovatti137754.32
Sergio Callegari211218.52
Gianluca Setti347871.19