Title :
A noise-reduction neural network as a preprocessing stage in the SVD based method of harmonic retrieval
Author :
Rao, Sathyanarayan S. ; Pisharam, Pradeep M.
Author_Institution :
Dept. of Electr. Eng., Villanova Univ., PA, USA
Abstract :
A noise-reduction neural network is proposed as a preprocessing stage in the singular value decomposition (SVD)-based state-space approach to harmonic retrieval. By performing noise-reduction on the data set, the performance is improved of the various criteria available in the literature for identifying the significant singular values in the SVD of the estimated covariance matrix. Computer simulations performed using sampled sinusoids in white noise show that the network is capable of learning to perform noise reduction
Keywords :
computerised signal processing; harmonics; interference suppression; learning systems; neural nets; state-space methods; white noise; SVD based method; estimated covariance matrix; harmonic retrieval; learning capacity; network training; noise-reduction neural network; preprocessing stage; singular value decomposition; sinusoids frequency estimation; state-space approach; white noise; Computational modeling; Covariance matrix; Feedforward neural networks; Frequency estimation; Intelligent networks; Neural networks; Noise reduction; Singular value decomposition; State-space methods; White noise;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112093
