DocumentCode :
294714
Title :
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
Link To Document :
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