Estimation of spectral correlation using filter banks

Author

Frederick, Thomas ; Erdol, Nurgun

Author_Institution

Sensormatic Electron. Corp., Deerfield Beach, FL, USA

Volume

3

fYear

1995

fDate

9-12 May 1995

Firstpage

1629

Abstract

The paper considers the use of filter banks for estimating the spectral correlation density function (SCD). Past techniques have used FFT techniques to lower the computational complexity of SCD estimation. The present authors study an alternative approach of using FIR filter banks. The time resolution, bi-frequency resolution, and complexity of the two techniques are compared. Examples from communication theory are considered

Keywords

FIR filters; computational complexity; correlation methods; digital filters; parameter estimation; quadrature amplitude modulation; signal resolution; spectral analysis; FIR filter banks; QAM; SCD estimation; bi-frequency resolution; communication theory; computational complexity; spectral correlation density function estimation; time resolution; Autocorrelation; Bandwidth; Channel bank filters; Density functional theory; Discrete Fourier transforms; Filter bank; Frequency estimation; Passband; Quadrature amplitude modulation; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.479883

Filename

479883