Proceedings: March 15-19, 1999, Civic Plaza, Hyatt Regency, Phoenix, Arizona, USA.. Speech processing I. 1999,1IEEE Service Center, 1999 |
Contents
Critical Input Data Channels Selection for Progressive Work Exercise | 1097 |
Volume II | 1100 |
Feature Selection Using General Regression Neural Networks for | 1101 |
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Acoust adaptive filter algorithm analysis applications approach approximation blind signal separation channel chaotic coder coding complex computational constraint convergence corresponding deconvolution defined denote detection detector discrete discrete-time distribution domain equal equation error estimate example Figure filter banks filter coefficients finite finite field FIR filter Fourier transform frequency Gaussian given H₁ IEEE IEEE Trans implementation impulse response iteration kernel lattice linear matrix method minimize minimum phase modulation multiwavelet mutual information noise nonlinear obtained optimal orthogonal orthonormal output paper parameters performance phase polynomial problem Proc proposed pulse quantization random reconstruction recursive samples scaling function sensor sequence shown Signal Processing simulation spectral statistical stochastic stopband structure subband symbol systolic array techniques textures Theorem time-frequency time-varying tion transition band variable variance vector wavelet transform Wiener filter zero