2002•Unpublished venueRequires access

Signal spectrum analysis and period estimation by using delayed signal sampling

Lorenzo Peretto, G. Pasini, Carlo Muscas

Open publisher page 0 citations

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.

About this research paper

What this paper is about

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.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Autocorrelation, Bandwidth (computing), Estimator, SIGNAL (programming language), Sampling (signal processing), Spectral density, Computer science, Coherent sampling

Related papers

Back to paper searchBrowse research topicsOriginal source
Signal spectrum analysis and period estimation by using delayed signal sampling — Research Paper | ScholarLens