A good read

[1]  Johan A. K. Suykens,et al.  NLq theory: checking and imposing stability of recurrent neural networks for nonlinear modeling , 1997, IEEE Trans. Signal Process..

[2]  Mari Ostendorf,et al.  From HMM's to segment models: a unified view of stochastic modeling for speech recognition , 1996, IEEE Trans. Speech Audio Process..

[3]  P. Stoica,et al.  Maximum likelihood methods in radar array signal processing , 1998, Proc. IEEE.

[4]  Li Lee,et al.  A frequency warping approach to speaker normalization , 1998, IEEE Trans. Speech Audio Process..

[5]  Petre Stoica,et al.  Maximum likelihood parameter and rank estimation in reduced-rank multivariate linear regressions , 1996, IEEE Trans. Signal Process..

[6]  Vassilios Digalakis,et al.  Genones: generalized mixture tying in continuous hidden Markov model-based speech recognizers , 1996, IEEE Trans. Speech Audio Process..

[7]  Ingemar J. Cox,et al.  Secure spread spectrum watermarking for multimedia , 1997, IEEE Trans. Image Process..

[8]  Antonio Ortega,et al.  Rate-distortion methods for image and video compression , 1998, IEEE Signal Process. Mag..

[9]  Geoffrey M. Davis,et al.  A wavelet-based analysis of fractal image compression , 1998, IEEE Trans. Image Process..

[10]  Christ D. Richmond,et al.  Derived PDF of maximum likelihood signal estimator which employs an estimated noise covariance , 1996, IEEE Trans. Signal Process..

[11]  Hermann Ney,et al.  Formant estimation for speech recognition , 1998, IEEE Trans. Speech Audio Process..