Title :
Estimating spectral correlations with simple nonlinear transformations
Author :
Sullivan, Mark C. ; Wegman, Edward J.
Author_Institution :
Eng. Res. Assoc., Vienna, VA, USA
fDate :
6/1/1995 12:00:00 AM
Abstract :
Two computationally efficient cyclic spectral analysis algorithms are compared using a computer simulation. Each algorithm replaces multiplications with sign changes and multiplexing operations. Compared with conventional frequency smoothing estimators, the quadruplex and one bit spectral correlation algorithms suffered losses in output signal to noise ratio of approximately 0.6 dB and 1.9 dB, respectively
Keywords :
Gaussian processes; correlation methods; smoothing methods; spectral analysis; Gaussian process; computer simulation; cyclic spectral analysis algorithms; multiplexing operations; nonlinear transformations; one bit spectral correlation algorithms; output signal to noise ratio; quadruplex spectral correlation algorithm; sign changes; signal detection; spectral correlations estimation; Computational efficiency; Computational modeling; Computer simulation; Frequency estimation; Gaussian processes; Signal analysis; Signal processing algorithms; Signal to noise ratio; Smoothing methods; Spectral analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
