Title :
Signal spectrum analysis and period estimation by using delayed signal sampling
Author :
Peretto, Lorenzo ; Pasini, Gaetano ; Muscas, Carlo
Author_Institution :
Dipt. di Ingegneria Elettrica, Bologna Univ., Italy
Abstract :
The paper describes a signal power spectrum analyzer and a period signal estimator whose bandwidth is not limited by the mean sampling time. The procedure relays on the evaluation of the input signal autocorrelation function in different delayed time instants, located at either equi-spaced or random time instants. To 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 is reported in the paper for validating the performance of the method
Keywords :
correlation methods; random processes; signal sampling; spectral analysis; autocorrelation function; delayed signal sampling; delayed time instants; equi-spaced instants; mean sampling time; period estimation; period signal estimator; random time instants; recursive random sampling; sampling strategy; signal autocorrelation; signal power spectrum; signal power spectrum analyzer; signal spectrum analysis; sinusoidal signals; time domain; Autocorrelation; Bandwidth; Delay effects; Delay estimation; Frequency; Relays; Sampling methods; Signal analysis; Signal sampling; Spectral analysis;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-5890-2
DOI :
10.1109/IMTC.2000.848898