Title :
Signal spectrum analysis and period estimation by using delayed signal sampling
Author :
Peretto, Lorenzo ; Pasini, Gaetano ; Muscas, Carlo
Author_Institution :
Dipartimento di Ingegneria Elettrica, Bologna Univ., Italy
fDate :
8/1/2001 12:00:00 AM
Abstract :
The paper describes a signal power spectrum analyzer and a signal period estimator whose bandwidth is not limited by the mean sampling time. The procedure relies on the evaluation of the input signal autocorrelation function in different delayed time instants, located at either equispaced or random time instants. To do this, a recursive random sampling process in the time domain was used in order to avoid any bandwidth limitation due to the sampling strategy in the evaluation of each autocorrelation function. The signal power spectrum as well as its period, provided that an approximate value of the fundamental frequency is known, can finally be evaluated. Some theoretical background and experimental work are reported in the paper for validating the performance of the method
Keywords :
correlation theory; frequency estimation; signal sampling; spectral analysis; bandwidth limitation; delayed signal sampling; delayed time instants; input signal autocorrelation function; mean sampling time; period estimation; recursive random sampling process; signal spectrum analysis; Autocorrelation; Bandwidth; Delay effects; Delay estimation; Fast Fourier transforms; Frequency; Sampling methods; Signal analysis; Signal sampling; Spectral analysis;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on