The Variational Bayes Method in Signal Processing

1. Introduction

2. Bayesian Theory

3. Off-line Distributional Approximations and the Variational Bayes Method

4. Principal Component Analysis and Matrix Decompositions

5. Functional Analysis of Medical Image Sequences

6. On-line Inference of Time-Invariant Parameters

7. On-line Inference of Time-Variant Parameters

8. The Mixture-based Extension of the AR Model (MEAR)

9. Concluding Remarks

DRM-restrictions

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