Signal Processing in a Nonlinear, NonGaussian, and Nonstationary World

Author:

Haykin Simon

Publisher

Springer Berlin Heidelberg

Reference22 articles.

1. Haykin, S.: Signal processing: Where Physics and Mathematics Meet. IEEE Signal Processing Magazine 18(4), 6–7 (2001) (invited)

2. Kalman, R.E.: A New Approach to Linear Filtering and Prediction Problems. Transactions of the ASME, Journal of Basic Engineering 82(3), 5–45 (1960)

3. Robert, C.P., Casella, G.: Monte Carlo Statistical Methods. Springer, Berlin (1999)

4. Gordon, N., Salmond, D., Smith, A.F.M.: Novel Approach to Nonlinear/Non-gaussian Bayesian State Estimation. IEE Proceedings-F 140, 107–113 (1993)

5. Doucet, A., de Freitas, N., Gordon, N.: Sequential Monte Carlo Methods in Practice. Springer, New York (2001)

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