What people are saying - Write a review
We haven't found any reviews in the usual places.
NONLINEAR SIGNAL PROCESSING AND NEURAL NETWORKS
TIMBFREQUENCY DISTRIBUTION AND NONSTATIONARY SIGNALS
Cohen Hunter CollegeCUNY
8 other sections not shown
Other editions - View all
Acoustics adaptive filter algorithm analysis applications approach approximation ASSP basis functions beam bilinear classiﬁcation coefficients column complex computed constraints convergence CORDIC correlation covariance covariance matrix cumulants decomposition deﬁned deﬁnition denote derived detection diagonal distribution eigenvectors elements equation error estimation fault Figure ﬁlter ﬁrst Fourier transform Gabor given grid identiﬁcation IEEE IEEE Trans implementation input instantaneous frequency iterations kernel least squares linear linear least squares matrix Mellin transform method noise subspace nonlinear obtained operation optimal orthonormal orthonormal basis output parameters parametric estimator performance phase polynomial problem Proc processor propagation radar random recursive recursive least squares representation rotation samples scaling sensors sequence Signal Processing simulation singular value singular value decomposition spectral spectrum statistics systolic array target techniques Theorem time-frequency time-frequency representation triangular update variance vector wavelet transform Wigner-Ville window zero