Title :
Enhancement of signal to noise ratio using bispectrum a quantitative analysis for very low SNR
Author :
Yeganeh, Payam ; Moradi, Mohammad H. ; Reshad, Ali
Author_Institution :
Dept. of Biomed. Eng., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
Bispectrum has been widely used to enhance the SNR. This is based on the assumption that the HOS properties of the signal of interest are different to the HOS properties of. the noise. In the present work, we consider the use of bispectrum techniques when repeated measurements are made of a deterministic signal embedded in random noise where SNR is in the range from -17 dB up to 0 dB. The performance of estimators and reconstruction algorithms are evaluated using simulated evoked potential data. We conclude that the best performance is achieved if we reconstruct the phase by bispectrum and amplitude through a second order method such as ´Spectral Subtraction´.
Keywords :
auditory evoked potentials; medical signal processing; random noise; signal reconstruction; spectral analysis; 17 to 0 dB; Spectral Subtraction; auditory brainstem response recordings; bispectrum; clinical applications; deterministic signal embedded in random noise; electrodiagnostics; quantitative analysis; reconstruction algorithms; second order method; signal to noise ratio enhancement; simulated evoked potential data; very low SNR; Additive noise; Amplitude estimation; Background noise; Biomedical engineering; Delay; Gaussian noise; Phase estimation; Reconstruction algorithms; Signal analysis; Signal to noise ratio;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020613
